WLI2026

Women Leading Innovation 2027 | Tech4Her Africa

International Study Tour & Innovation Exchange ยท 2027

Women Leading Innovation

A ten-day immersive programme taking 30 African women leaders, entrepreneurs and innovators to Europe โ€” building future-ready skills in entrepreneurship, artificial intelligence and global business growth.

Organiser
Tech4Her Africa
Duration
10 Days
Delegation
30 African Women
Destination
Europe

About the programme

Entrepreneurship, AI and business growth

Women Leading Innovation equips African women leaders with future-ready competencies in entrepreneurship, artificial intelligence, innovation management and global business transformation. Delegates engage in academic instruction, industry visits, guest lectures, innovation tours and cross-cultural exchange โ€” designed to accelerate Africa’s digital economy through the women who will lead it.

01

Entrepreneurship & Innovation

Practical frameworks for building and scaling ventures in fast-moving markets.

02

AI for Business Growth

Applying artificial intelligence tools to real operations, products and decisions.

03

Leadership Development

Personal branding, executive presence and confident global leadership.

04

Industry & Innovation Tours

Direct exposure to companies, hubs and founders shaping the European tech scene.

05

International Networking

Cross-cultural exchange and relationship-building with global peers and mentors.

06

Alumni Community

A lasting network of graduates mentoring the next cohort of women innovators.

Delegate profile

Who’s in the room

Thirty participants from across Africa, selected for impact and ambition.

Entrepreneurs & SME Owners
Women in Technology
University Lecturers & Researchers
Startup Founders
Corporate Executives
Public Sector Professionals
NGO Leaders
Emerging Innovators

Inside the experience

Ten days, three dimensions

Academic depth, industry access and cultural immersion โ€” built into a single itinerary.

Academic Sessions
  • Entrepreneurship & Innovation
  • Artificial Intelligence Applications
  • Business Transformation
  • Leadership Development
Industry Engagement
  • Company visits & innovation hubs
  • Guest speakers & mentors
  • Business networking sessions
  • Startup ecosystem tours
Cultural Exchange
  • City tours & community immersion
  • International networking
  • Cross-cultural exchanges
  • Closing celebration

Why this programme matters

  • Practical Skills: Build entrepreneurship, AI and leadership competencies you can apply immediately.
  • Global Access: Direct exposure to Europe’s innovation hubs, founders and ecosystem partners.
  • Lasting Network: Join a growing alumni community of African women leaders across sectors.
  • Recognised Leadership: Return home equipped to scale your venture and mentor the next cohort.
Delegates collaborating during the programme

Meet the team

The people behind it

A small team driving the programme from concept to delivery.

Team member

Full Name

Role / Title

One or two lines about this team member’s background and role on the programme.

Team member

Full Name

Role / Title

One or two lines about this team member’s background and role on the programme.

Team member

Full Name

Role / Title

One or two lines about this team member’s background and role on the programme.

Team member

Full Name

Role / Title

One or two lines about this team member’s background and role on the programme.

Partner with us

Sponsorship & exhibition packages

Support the delivery of a high-impact programme and gain structured visibility, recognition and direct access to a curated delegation of African women leaders.

Platinum Exhibitor

โ‚ฆ50,000,000+
  • Premium showcase space at all programme venues
  • Dedicated product or service demonstration session
  • First-priority delegate engagement slot
  • Branded exhibition materials and signage
  • Full-page feature in official impact report

Gold Exhibitor

โ‚ฆ25,000,000+
  • Dedicated exhibition space at key programme events
  • Product or service demonstration slot
  • Branded exhibition signage
  • Half-page feature in impact report

Silver Exhibitor

โ‚ฆ10,000,000+
  • Shared exhibition space at selected events
  • Company materials available to delegates
  • Quarter-page feature in impact report

Bronze Exhibitor

โ‚ฆ5,000,000+
  • Table-top display at one programme event
  • Name in impact report acknowledgements

Showcase Partner

โ‚ฆ1,000,000+
  • Printed materials placement at one event
  • Acknowledgement in final impact report

Where it happens

Two cities, one journey

Barcelona
An international business hub with a thriving startup ecosystem, world-class innovation districts and unparalleled networking opportunities.
Vic
Home to our host faculty, offering a focused academic environment with day-trip access to Barcelona, a quieter campus setting and inclusive meals.

Get involved

How to take part

01

Register Your Interest

Complete the form below as a prospective delegate, sponsor or exhibitor.

02

Receive the Full Programme Brief

Confirmed applicants and partners receive full programme details, including venue, schedule and agreements.

03

Confirm Your Place

Delegates complete selection; sponsors and exhibitors finalise package and agreement.

04

Join the Programme

Take part in the ten-day experience, May 2027.

Register interest

Be part of this cohort

Spaces are limited to thirty delegates. Sponsorship and exhibition packages are allocated on a first-confirmed basis. Tell us how you’d like to be involved and our team will follow up.

  • Open to delegates, sponsors and exhibitors
  • No payment required to register interest
  • Full programme brief sent on follow-up
  • Response within 5 working days

By submitting, you agree to be contacted by Tech4Her Africa about this programme.

Questions

Frequently asked

The programme is open to African women entrepreneurs, SME owners, technologists, lecturers, researchers, startup founders, corporate executives, public sector professionals, NGO leaders and emerging innovators.

The programme is fully sponsored where funding allows. Selected delegates will receive full details on any contribution required, if applicable, during the confirmation process.

Sponsorship packages support the programme’s delivery and offer brand visibility and recognition. Exhibition packages provide direct showcase space and engagement opportunities with delegates throughout the programme.

International flights, accommodation, meals, academic and faculty fees, industry visit costs, programme materials, travel insurance, visa support, cultural activities and on-ground coordination.

Our team responds to all registrations within five working days with next steps and, where relevant, the full programme brief.

Yes. Many partners combine a sponsorship tier with an exhibition package. Select “Other Collaboration” in the form and describe what you have in mind.

The future is African, and it’s female.

Whether you’re applying, sponsoring or exhibiting โ€” every action builds the next generation of women leading Africa’s innovation economy.

Register Your Interest
Farm-to-Plate AI Course

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    <title>Farm-to-Plate AI Course</title>

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<body class=”bg-gradient-to-br from-green-50 to-blue-50 min-h-screen”>

    <div id=”app”></div>

    <script>

        // Course Data

        const courseData = {

            1: {

                title: “Week 1: Introduction & Context”,

                sections: [

                    {

                        type: “intro”,

                        title: “Welcome”,

                        content: {

                            heading: “AI for African Smallholder Post-Harvest Management”,

                            stats: [

                                “30-50% of produce lost between harvest and market”,

                                “Billions in annual losses for smallholder farmers”,

                                “AI can reduce losses by 50%”

                            ]

                        }

                    },

                    {

                        type: “lesson”,

                        title: “Post-Harvest Loss Problem”,

                        content: {

                            text: “Africa loses 30-50% of produce between harvest and market, costing smallholder farmers billions annually.”,

                            caseStudy: {

                                title: “Case Study: Maria’s Tomato Farm”,

                                current: “Loses 80kg (40%), earns 6,000 KES”,

                                withAI: “Loses 40kg (20%), earns 8,000 KES”

                            }

                        }

                    },

                    {

                        type: “flipcards”,

                        title: “Root Causes”,

                        cards: [

                            { front: “Physical Losses”, back: “Bruising, rotting, pest damage during handling and transport” },

                            { front: “Economic Losses”, back: “Price drops for damaged produce, rejection by buyers” },

                            { front: “Infrastructure”, back: “No refrigeration, poor storage facilities” },

                            { front: “Information Gap”, back: “Lack of real-time market data and quality tools” }

                        ]

                    },

                    {

                        type: “quiz”,

                        title: “Week 1 Quiz”,

                        questions: [

                            {

                                q: “What percentage of produce is typically lost in Africa?”,

                                options: [“10-20%”, “30-50%”, “60-70%”, “80-90%”],

                                correct: 1

                            },

                            {

                                q: “Where are AI interventions most effective?”,

                                options: [“Harvest”, “Sorting & Storage”, “Transport”, “Market”],

                                correct: 1

                            }

                        ]

                    }

                ]

            },

            2: {

                title: “Week 2: Image Data Fundamentals”,

                sections: [

                    {

                        type: “lesson”,

                        title: “Digital Images”,

                        content: {

                            text: “Understanding how cameras capture produce images.”,

                            concepts: [

                                { term: “Pixels”, def: “Smallest unit of an image” },

                                { term: “Resolution”, def: “Number of pixels (e.g., 1920ร—1080)” },

                                { term: “Bit Depth”, def: “Number of bits per pixel (8-bit = 0-255)” }

                            ]

                        }

                    },

                    {

                        type: “flipcards”,

                        title: “Color Spaces”,

                        cards: [

                            { front: “RGB”, back: “Red-Green-Blue. Three channels 0-255. Common camera format.” },

                            { front: “HSV”, back: “Hue-Saturation-Value. Better for colored defect detection.” },

                            { front: “Grayscale”, back: “Single channel. Useful for texture analysis.” }

                        ]

                    },

                    {

                        type: “code”,

                        title: “MATLAB Lab”,

                        code: “% Convert to HSV\nimg_rgb = imread(‘tomato.jpg’);\nimg_hsv = rgb2hsv(img_rgb);\n\n% Detect red regions\nH = img_hsv(:,:,1);\nred_mask = (H < 0.05 | H > 0.95);”

                    },

                    {

                        type: “quiz”,

                        title: “Week 2 Quiz”,

                        questions: [

                            {

                                q: “A 640ร—480 RGB image is stored as:”,

                                options: [“640ร—480 matrix”, “640ร—480ร—3 array”, “Three 640ร—480 matrices”, “Single array”],

                                correct: 1

                            }

                        ]

                    }

                ]

            },

            3: {

                title: “Week 3: Defect Detection”,

                sections: [

                    {

                        type: “lesson”,

                        title: “Common Defects”,

                        content: {

                            defects: [

                                { type: “Bruising”, impact: “20-40% price reduction” },

                                { type: “Rot”, impact: “Rejection by buyers” },

                                { type: “Sunburn”, impact: “Lower price tier” }

                            ]

                        }

                    },

                    {

                        type: “flipcards”,

                        title: “Segmentation”,

                        cards: [

                            { front: “Global Threshold”, back: “Single value for entire image. Simple but struggles with variable lighting.” },

                            { front: “Adaptive Threshold”, back: “Local thresholds. Better for uneven lighting.” },

                            { front: “Otsu’s Method”, back: “Automatic threshold selection. No manual tuning.” }

                        ]

                    },

                    {

                        type: “code”,

                        title: “Detection Pipeline”,

                        code: “% Defect detection\nimg_gray = rgb2gray(img);\nthreshold = graythresh(img_gray);\nbw = imbinarize(img_gray, threshold);\n\n% Clean with morphology\nse = strel(‘disk’, 5);\nbw_clean = imopen(bw, se);”

                    },

                    {

                        type: “quiz”,

                        title: “Week 3 Quiz”,

                        questions: [

                            {

                                q: “Which operation removes small noise?”,

                                options: [“Dilation”, “Opening”, “Closing”, “Threshold”],

                                correct: 1

                            }

                        ]

                    }

                ]

            },

            4: {

                title: “Week 4: CNN Classification”,

                sections: [

                    {

                        type: “lesson”,

                        title: “Grading System”,

                        content: {

                            grades: [

                                { grade: “A”, desc: “No defects”, price: “100%” },

                                { grade: “B”, desc: “Minor defects”, price: “60-80%” },

                                { grade: “C”, desc: “Major defects”, price: “0-30%” }

                            ]

                        }

                    },

                    {

                        type: “flipcards”,

                        title: “CNN Basics”,

                        cards: [

                            { front: “What are CNNs?”, back: “Deep learning models that automatically learn features from images.” },

                            { front: “Transfer Learning”, back: “Use pre-trained models and fine-tune for your task.” },

                            { front: “Why CNNs?”, back: “Handle variations, scale well, work with limited data.” }

                        ]

                    },

                    {

                        type: “code”,

                        title: “CNN Training”,

                        code: “% Load MobileNet\nnet = mobilenetv2;\n\n% Replace final layer\nlgraph = layerGraph(net);\nnewFC = fullyConnectedLayer(3);\nlgraph = replaceLayer(lgraph, ‘Logits’, newFC);\n\n% Train\nnet_trained = trainNetwork(imds, lgraph, options);”

                    },

                    {

                        type: “quiz”,

                        title: “Week 4 Quiz”,

                        questions: [

                            {

                                q: “Main advantage of transfer learning?”,

                                options: [“Faster training”, “Works with limited data”, “Smaller model”, “Better always”],

                                correct: 1

                            }

                        ]

                    }

                ]

            }

        };

        // State Management

        let state = {

            currentWeek: 1,

            currentSection: 0,

            completed: {},

            quizAnswers: {},

            flipped: {}

        };

        // Load saved progress

        function loadProgress() {

            const saved = localStorage.getItem(‘farmToPlateProgress’);

            if (saved) {

                state = { …state, …JSON.parse(saved) };

            }

        }

        // Save progress

        function saveProgress() {

            localStorage.setItem(‘farmToPlateProgress’, JSON.stringify(state));

        }

        // Navigation

        function navigate(week, section) {

            state.currentWeek = week;

            state.currentSection = section;

            saveProgress();

            render();

        }

        function nextSection() {

            const week = courseData[state.currentWeek];

            if (state.currentSection < week.sections.length – 1) {

                navigate(state.currentWeek, state.currentSection + 1);

            } else if (state.currentWeek < 4) {

                navigate(state.currentWeek + 1, 0);

            }

        }

        function prevSection() {

            if (state.currentSection > 0) {

                navigate(state.currentWeek, state.currentSection – 1);

            } else if (state.currentWeek > 1) {

                const prevWeek = state.currentWeek – 1;

                navigate(prevWeek, courseData[prevWeek].sections.length – 1);

            }

        }

        function markComplete() {

            state.completed[`${state.currentWeek}-${state.currentSection}`] = true;

            saveProgress();

            render();

        }

        // Render functions

        function renderSection(section, idx) {

            const key = `${state.currentWeek}-${idx}`;

            switch(section.type) {

                case ‘intro’:

                    return `

                        <div class=”space-y-6″>

                            <div class=”bg-gradient-to-r from-green-600 to-blue-600 text-white p-8 rounded-lg”>

                                <h2 class=”text-3xl font-bold mb-4″>${section.content.heading}</h2>

                            </div>

                            <div class=”grid md:grid-cols-3 gap-4″>

                                ${section.content.stats.map(stat => `

                                    <div class=”bg-white p-6 rounded-lg shadow-md border-l-4 border-green-500″>

                                        <p class=”text-gray-700″>${stat}</p>

                                    </div>

                                `).join(”)}

                            </div>

                            <button onclick=”markComplete()” class=”w-full bg-green-600 text-white py-3 rounded-lg font-semibold hover:bg-green-700″>

                                Continue

                            </button>

                        </div>

                    `;

                case ‘lesson’:

                    return `

                        <div class=”space-y-6″>

                            <div class=”bg-white p-6 rounded-lg shadow-md”>

                                <p class=”text-lg text-gray-700 mb-4″>${section.content.text}</p>

                                ${section.content.caseStudy ? `

                                    <div class=”bg-blue-50 p-6 rounded-lg mt-6″>

                                        <h4 class=”font-bold text-blue-900 mb-3″>${section.content.caseStudy.title}</h4>

                                        <div class=”grid md:grid-cols-2 gap-4″>

                                            <div class=”bg-red-50 p-4 rounded”>

                                                <p class=”font-semibold text-red-900 mb-2″>Current</p>

                                                <p class=”text-sm”>${section.content.caseStudy.current}</p>

                                            </div>

                                            <div class=”bg-green-50 p-4 rounded”>

                                                <p class=”font-semibold text-green-900 mb-2″>With AI</p>

                                                <p class=”text-sm”>${section.content.caseStudy.withAI}</p>

                                            </div>

                                        </div>

                                    </div>

                                ` : ”}

                                ${section.content.concepts ? `

                                    <div class=”space-y-3 mt-6″>

                                        ${section.content.concepts.map(c => `

                                            <div class=”border-l-4 border-blue-500 pl-4 py-2″>

                                                <p class=”font-semibold”>${c.term}</p>

                                                <p class=”text-sm text-gray-600″>${c.def}</p>

                                            </div>

                                        `).join(”)}

                                    </div>

                                ` : ”}

                                ${section.content.defects ? `

                                    <div class=”space-y-3 mt-6″>

                                        ${section.content.defects.map(d => `

                                            <div class=”bg-gray-50 p-4 rounded-lg”>

                                                <p class=”font-bold”>${d.type}</p>

                                                <p class=”text-sm text-red-600″>${d.impact}</p>

                                            </div>

                                        `).join(”)}

                                    </div>

                                ` : ”}

                                ${section.content.grades ? `

                                    <div class=”space-y-3 mt-6″>

                                        ${section.content.grades.map(g => `

                                            <div class=”bg-gray-50 p-4 rounded-lg border-2 border-gray-200″>

                                                <p class=”font-bold”>Grade ${g.grade}</p>

                                                <p class=”text-sm text-gray-600″>${g.desc}</p>

                                                <p class=”text-sm text-green-600 font-semibold”>${g.price}</p>

                                            </div>

                                        `).join(”)}

                                    </div>

                                ` : ”}

                            </div>

                            <button onclick=”markComplete()” class=”w-full bg-green-600 text-white py-3 rounded-lg font-semibold hover:bg-green-700″>

                                Continue

                            </button>

                        </div>

                    `;

                case ‘flipcards’:

                    return `

                        <div class=”space-y-6″>

                            <div class=”bg-blue-50 p-4 rounded-lg”>

                                <p class=”text-center text-blue-900″>Click each card to flip</p>

                            </div>

                            <div class=”grid md:grid-cols-2 gap-6″>

                                ${section.cards.map((card, i) => `

                                    <div class=”flip-card ${state.flipped[`${key}-${i}`] ? ‘flipped’ : ”}”

                                         onclick=”flipCard(‘${key}-${i}’)”>

                                        <div class=”flip-card-inner”>

                                            <div class=”flip-card-front bg-gradient-to-br from-green-500 to-green-600 text-white”>

                                                <div>

                                                    <p class=”text-xl font-bold”>${card.front}</p>

                                                    <p class=”text-sm mt-2 opacity-75″>Click to flip</p>

                                                </div>

                                            </div>

                                            <div class=”flip-card-back bg-gradient-to-br from-blue-500 to-blue-600 text-white”>

                                                <p class=”text-sm”>${card.back}</p>

                                            </div>

                                        </div>

                                    </div>

                                `).join(”)}

                            </div>

                            <button onclick=”markComplete()” class=”w-full bg-green-600 text-white py-3 rounded-lg font-semibold hover:bg-green-700″>

                                Continue

                            </button>

                        </div>

                    `;

                case ‘code’:

                    return `

                        <div class=”space-y-6″>

                            <div class=”bg-white p-6 rounded-lg shadow-md”>

                                <h4 class=”font-bold text-lg mb-4″>๐Ÿ’ป MATLAB Code Example</h4>

                                <div class=”code-block”>${section.code}</div>

                            </div>

                            <button onclick=”markComplete()” class=”w-full bg-green-600 text-white py-3 rounded-lg font-semibold hover:bg-green-700″>

                                Mark Complete

                            </button>

                        </div>

                    `;

                case ‘quiz’:

                    return renderQuiz(section.questions, key);

            }

        }

        function renderQuiz(questions, key) {

            const answers = state.quizAnswers[key] || {};

            const submitted = state.completed[key];

            let html = ‘<div class=”space-y-6″>’;

            questions.forEach((q, qIdx) => {

                html += `

                    <div class=”bg-white p-6 rounded-lg shadow-md”>

                        <p class=”font-semibold mb-4″>${qIdx + 1}. ${q.q}</p>

                        <div class=”space-y-2″>

                            ${q.options.map((opt, oIdx) => {

                                const selected = answers[qIdx] === oIdx;

                                const correct = oIdx === q.correct;

                                const showFeedback = submitted && selected;

                                return `

                                    <button onclick=”answerQuiz(‘${key}’, ${qIdx}, ${oIdx})”

                                            ${submitted ? ‘disabled’ : ”}

                                            class=”w-full text-left p-3 rounded-lg border-2 transition-all ${

                                                showFeedback

                                                    ? (correct ? ‘border-green-500 bg-green-50’ : ‘border-red-500 bg-red-50’)

                                                    : (selected ? ‘border-blue-500 bg-blue-50’ : ‘border-gray-200 hover:border-gray-300’)

                                            }”>

                                        ${opt}

                                        ${showFeedback ? (correct ? ‘ โœ“’ : ‘ โœ—’) : ”}

                                    </button>

                                `;

                            }).join(”)}

                        </div>

                    </div>

                `;

            });

            if (!submitted) {

                const allAnswered = Object.keys(answers).length === questions.length;

                html += `

                    <button onclick=”submitQuiz(‘${key}’, ${questions.length})”

                            ${!allAnswered ? ‘disabled’ : ”}

                            class=”w-full bg-green-600 text-white py-3 rounded-lg font-semibold hover:bg-green-700 disabled:bg-gray-300″>

                        Submit Quiz

                    </button>

                `;

            } else {

                const score = questions.reduce((acc, q, i) => acc + (answers[i] === q.correct ? 1 : 0), 0);

                html += `

                    <div class=”bg-blue-50 p-6 rounded-lg text-center”>

                        <p class=”text-2xl font-bold text-blue-900″>Score: ${score}/${questions.length}</p>

                        <p class=”text-gray-600 mt-2″>${score === questions.length ? ‘Perfect! ๐ŸŽ‰’ : ‘Great job! ๐Ÿ‘’}</p>

                    </div>

                `;

            }

            html += ‘</div>’;

            return html;

        }

        function flipCard(cardId) {

            state.flipped[cardId] = !state.flipped[cardId];

            render();

        }

        function answerQuiz(key, qIdx, answer) {

            if (!state.quizAnswers[key]) state.quizAnswers[key] = {};

            state.quizAnswers[key][qIdx] = answer;

            saveProgress();

            render();

        }

        function submitQuiz(key, numQuestions) {

            markComplete();

        }

        function render() {

            const week = courseData[state.currentWeek];

            const section = week.sections[state.currentSection];

            const progress = (Object.keys(state.completed).length / 16) * 100;

            document.getElementById(‘app’).innerHTML = `

                <div class=”max-w-6xl mx-auto px-4 py-6″>

                    <!– Header –>

                    <div class=”bg-white shadow-md rounded-lg p-4 mb-6″>

                        <div class=”flex items-center justify-between mb-2″>

                            <h1 class=”text-2xl font-bold text-gray-900″>Farm-to-Plate AI</h1>

                            <span class=”text-sm font-semibold text-gray-600″>Week ${state.currentWeek} of 4</span>

                        </div>

                        <div class=”mt-3″>

                            <div class=”flex items-center justify-between text-sm text-gray-600 mb-1″>

                                <span>Progress</span>

                                <span>${Math.round(progress)}%</span>

                            </div>

                            <div class=”w-full bg-gray-200 rounded-full h-3″>

                                <div class=”bg-gradient-to-r from-green-500 to-blue-500 h-3 rounded-full transition-all”

                                     style=”width: ${progress}%”></div>

                            </div>

                        </div>

                    </div>

                    <!– Week Tabs –>

                    <div class=”grid grid-cols-4 gap-4 mb-6″>

                        ${[1,2,3,4].map(w => `

                            <button onclick=”navigate(${w}, 0)”

                                    class=”p-4 rounded-lg font-semibold ${state.currentWeek === w ? ‘bg-green-600 text-white’ : ‘bg-white text-gray-600 hover:bg-gray-50’}”>

                                Week ${w}

                            </button>

                        `).join(”)}

                    </div>

                    <!– Content –>

                    <div class=”bg-white rounded-lg shadow-xl p-8 mb-6″>

                        <div class=”mb-6″>

                            <h2 class=”text-2xl font-bold text-gray-900 mb-2″>${week.title}</h2>

                            <p class=”text-gray-600″>Section ${state.currentSection + 1} of ${week.sections.length}: ${section.title}</p>

                        </div>

                        ${renderSection(section, state.currentSection)}

                    </div>

                    <!– Navigation –>

                    <div class=”flex justify-between”>

                        <button onclick=”prevSection()”

                                ${state.currentWeek === 1 && state.currentSection === 0 ? ‘disabled’ : ”}

                                class=”px-6 py-3 bg-gray-600 text-white rounded-lg font-semibold hover:bg-gray-700 disabled:bg-gray-300″>

                            โ† Previous

                        </button>

                        <button onclick=”nextSection()”

                                ${state.currentWeek === 4 && state.currentSection === week.sections.length – 1 ? ‘disabled’ : ”}

                                class=”px-6 py-3 bg-green-600 text-white rounded-lg font-semibold hover:bg-green-700 disabled:bg-gray-300″>

                            Next โ†’

                        </button>

                    </div>

                </div>

            `;

        }

        // Initialize

        loadProgress();

        render();

    </script>

</body>

</html>

DataDiva 2.0 2025 Event – Farm-To-Plate AI

DataDiva Bootcamp 2.0

Farm-to-Plate AI: Enhance Freshness & Reduce Waste with Robotics and Computer Vision

About the Event

Nigeria loses nearly half of its fresh produce before it reaches consumersโ€”a challenge that demands smart, tech-driven solutions. DataDiva Bootcamp 2.0 empowers women to harness the power of AI, robotics, and computer vision to build innovative solutions that detect food quality, extend shelf life, and reduce waste from farm to plate.

This hands-on bootcamp combines practical training, expert mentorship, and real-world problem solving to equip participants with the tools to create impact in agriculture and food systems.

What You’ll Learn

  • Basics of computer vision and AI model development for food quality detection
  • Introduction to robotics systems for sorting and handling produce
  • Data collection and analysis for freshness tracking and waste reduction
  • Real-world applications of AI in agriculture and sustainable food systems
  • Team-based project development and presentation

Who Should Attend

  • Women and young professionals passionate about AI, agritech, and sustainability
  • Students, researchers, and developers eager to apply technology for social impact
  • Entrepreneurs and innovators interested in smart farming and food systems

Why Attend

  • Learn from industry experts and mentors
  • Gain hands-on experience building real AI prototypes
  • Network with a community of women driving agricultural innovation
  • Earn a certificate of participation and join the DataDiva alumnae network

Event Details

๐Ÿ“ Location: University of Lagos (Hybrid)

๐Ÿ“… Date: December 2025 (to be confirmed)

๐Ÿ•’ Time: To be announced

๐ŸŽŸ๏ธ Registration: Free

Organized by

Tech4Her Africa โ€“ DataDiva Initiative in partnership with WiDS (Women in Data Science Worldwide)

Empowering women through data, AI, and digital innovation to create sustainable impact across Africa.


Project Profile: Farm-to-Plate AI

Reducing Farm Post-Harvest Waste via Robotics & Computer Vision

Summary

This project aims to design, prototype, and deploy an intelligent system combining robotics and computer vision to monitor, sort, and manage fresh produce along the supply chainโ€”from harvest to retail. The goal is to maximize freshness, minimize spoilage, and optimize logistic decisions (e.g. routing, storage) using AI models and automated hardware.

Objectives

  • Develop a computer vision model to detect quality and defects in produce (e.g. bruising, discoloration, rot)
  • Integrate the vision model with a robotic sorting/handling mechanism (e.g. conveyor + robotic arm) to separate substandard items
  • Build predictive models to estimate time-to-spoilage under different environmental conditions (temp, humidity, gas composition)
  • Use data analytics to optimize inventory, routing, and shelf-life extension decisions
  • Test the system in a pilot setting (farm, storage, market) and measure waste reduction, quality retention, and cost-benefits

Scope & Deliverables

  • Dataset: Collect images and sensor data (temperature, humidity, ethylene) across different produce types
  • Model Development: Train CV models (e.g. CNNs) for classification and defect detection; sensor-fusion predictive models
  • Hardware Integration: Prototype or simulate robotic sorting hardware
  • Software Pipeline: Build end-to-end pipeline (capture โ†’ inference โ†’ actuation โ†’ logging)
  • Dashboard/Visualization: Provide UI for stakeholders to monitor produce status, waste metrics, alerts
  • Pilot Deployment: Deploy in a real or simulated environment; collect feedback and performance metrics
  • Documentation & Report: Publish methodology, code, evaluation results, lessons, recommendations

Technologies & Tools

  • Computer Vision/Deep Learning: TensorFlow, PyTorch, OpenCV
  • Embedded/Robotics: ROS, Arduino/Raspberry Pi/Jetson Nano, robotic arm kits
  • Sensors: Temperature, humidity, gas sensors (e.g. ethylene), multispectral/RGB cameras
  • Data Analytics & Backend: Python (Pandas, scikit-learn), databases (SQL/NoSQL)
  • Interface/Dashboard: Web frameworks (Flask, Django, Dash), visualization libraries (Plotly, D3)
  • Simulation/CAD/Control: Gazebo/Simulink/MATLAB

Success Metrics / KPIs

Waste reduction (kg or %)
Shelf-life extension (days)
Detection accuracy (F1)
Processing throughput
Cost-benefit/ROI
Stakeholder satisfaction

Partners & Stakeholders

  • Local farms/cooperatives
  • Markets/retailers
  • Agricultural extension services
  • Universities/research labs
  • Tech sponsors (sensor vendors, robotics kits, cloud providers)

๐Ÿš€ Build Apps with Machines โ€“ Join the Women in AI Code Essentials Program!

Women in AI: Build Apps with Machines.

๐Ÿš€ Build Apps with Machines โ€“ Join the Women in AI Code Essentials Program!

AI is transforming the world, and itโ€™s easier than ever for women to step in and innovate. If youโ€™ve ever thought coding was too tough or AI was out of reach, this program is for you!


๐Ÿ’ก Tech4Her Africa presents a 5-day upskilling journey where youโ€™ll learn to harness AI tools, build intelligent applications, and gain confidence in your tech abilitiesโ€”no advanced coding required!



๐ŸŒŸ Program Goals

  • โœ… Simplify Programming Basics: Strengthen your foundation in Python and AI tools in a friendly, approachable way.
  • โœ… AI Enablement: Learn to use AI-powered platforms without deep technical expertise.
  • โœ… Practical Outcomes: By the end of the program, youโ€™ll have built an AI-powered solution (e.g., chatbot, content generator).
  • โœ… Inspiration & Confidence: Discover how AI can enhance your career and solve real-world problems.
  • โœ… Collaboration & Community: Join a supportive learning space where women in tech grow together!


๐Ÿ’ก AI is no longer the futureโ€”itโ€™s the NOW. Letโ€™s build, create, and lead together.

#WomenInAI #Tech4Her #AIUpskill #FutureTech #NoCodeAI

TechUp PostBoot: Code Foundation for AI.

TechUp PostBoot: Code Foundation for AI.

TechUp Post-Bootcamp: Code Foundation for AI โ€“ Prompting, Python X HTML



๐Ÿ’ก Remember when coding felt like a barrier? Long lines of code, endless debugging, and the fear of “hard coding” kept many from stepping into tech. But guess what? The game has changed!

With AI, you no longer need to be a full-time programmer to build apps, create solutions, and innovate. Now, you can prompt AI to do the heavy liftingโ€”but to truly master it, you need just a little foundation in Prompting, Python, and HTML.



What to Expect:

  • ๐ŸŽฏ Learn AI Prompting to guide AI like a pro
  • โšก Use Python for automation and AI-powered applications
  • ๐ŸŒ Understand HTML to structure your AI-driven projects


Event Details:

  • ๐Ÿ“… Dates: April 17-18th & 24-25th, 2025
  • โฐ Time: 5 PM WAT
  • ๐Ÿ‘ฉโ€๐Ÿ’ป Audience: Tech4Her Alumni Community
  • ๐Ÿ“Œ Session Type: Upskill Training

๐Ÿš€ This is not just a tech sessionโ€”itโ€™s a movement. A movement to show women that tech is no longer an exclusive club of coders, but a space where creativity, strategy, and the right knowledge can take you further than you ever imagined.



Meet Your Convener

๐ŸŒŸ Elizabeth Olorunleke Edwards โ€“ A visionary leader driving tech inclusivity, empowering women through TechUp @Tech4Her.

๐Ÿ’ก If youโ€™ve ever dreamed of creating without coding fearโ€”this is your moment. Join us for this fully sponsored training, powered by Tech4Her & IBM!

๐Ÿ“ข Tag a friend who needs this & spread the word! ๐Ÿš€



#Tech4Her #AI #Python #HTML #WomenInTech #AIforEveryone

The Importance of Consistency and Signifiers in UI Design

User interface design is an integral part of any product development process. It involves creating an interface that users can interact with seamlessly, efficiently, and enjoyably. Two essential principles in UI design are consistency and signifiers.

Consistency refers to the uniformity of the interface design across different pages, screens, and interactions. It makes it easy for users to navigate and understand the product. When a product has a consistent design, users can quickly learn how to perform different actions and predict what will happen when they click on different buttons.

On the other hand, signifiers refer to the visual cues that help users understand how to interact with the product. They include buttons, icons, color, and typography. Signifiers should be clear and easy to understand to avoid confusion and frustration for users.

Consistency and signifiers are crucial in UI design because they improve the user experience, reduce errors, and increase user engagement. When a product is consistent, users are more likely to trust it and feel confident using it. Signifiers help users understand the product’s functionality and how to navigate it, reducing the learning curve.

In conclusion, consistency and signifiers are essential principles in UI design. They create a seamless user experience and help users navigate and understand the product. As a UI designer, it’s essential to keep these principles in mind when designing interfaces to ensure the best possible user experience.

User Interface Design in 3 Minutes

What is UI?

The user interface (UI) acts as the medium of interaction between a user and a device or technology. It comprises of a set of visual components and controls such as menus, buttons, and icons that enable users to control and interact with the system. UI can either be graphical, as seen on a smartphone or computer, or command-line based as found on a computer’s command-line interface.

An effective user interface should possess attributes such as ease of use, visual appeal, and should provide users with clear and consistent feedback. It should also be designed in such a way that it is intuitive and efficient, making it easy for users to perform the necessary tasks with ease.

In designing a user interface, the layout, visual elements, interactions, and feedback are taken into consideration to create a satisfying and user-friendly experience with the product. The process is iterative, requiring continuous testing and improvement, as designers work in tandem with developers and stakeholders.

What is the difference between UX and UI?

UX (User Experience) and UI (User Interface) are two closely related yet distinct fields in design. UX design focuses on the overall feel and flow of a product, from research and prototyping to testing and iteration. It aims to understand the user needs, motivations, and behaviors and create a product that meets their goals efficiently and effectively. UX design includes aspects such as information architecture, wireframing, and usability testing.

UI design, on the other hand, focuses on the look and feel of a product. It involves designing visual elements such as colors, typography, and iconography, as well as the layout and structure of a product’s interface.

Who is a UI designer?

A UI (User Interface) designer is a professional responsible for the design of the graphical interface of a product, such as a website or application. They are responsible for creating the look and feel of the product, including the layout, typography, color palette, and visual elements such as buttons and icons.

A UI designer works closely with UX designers and developers to ensure that the interface is aesthetically pleasing, user-friendly, and consistent with the overall design style of the product. They may also be involved in creating and testing prototypes, as well as updating and maintaining the visual design as the product evolves.

The role of a UI designer requires a strong understanding of visual design principles, as well as the ability to create wireframes, mockups, and prototypes using design software. Good communication and collaboration skills are also important, as the UI designer must work closely with other members of the design and development teams.

Key Principles of Effective UI Design: Affordance and Feedback

Attention UI designers! When creating digital products, it’s important to keep in mind two crucial design principles: affordance and feedback.

Affordance refers to the perceived functionality of an object based on its design. For example, a button with a raised appearance and a shadow effect is perceived as something that can be clicked. On the other hand, a flat image without any raised appearance may not be perceived as clickable, and therefore not an effective affordance.

Feedback is the process of giving users clear and immediate responses to their actions within a digital product. This can come in the form of an animation, sound, or visual cue. Providing feedback lets users know that their actions have been registered and encourages continued engagement.

When designing a user interface, it’s important to keep both of these principles in mind to create a seamless user experience. #UIDesign #UserExperience #DesignPrinciples