Roseline
Project OwnerAs Founder & Lead Strategist, I oversee vision, partnerships, AI development, operations, and marketing to scale the project, ensuring food waste reduction, business sustainability, and global impact.
This project is an AI-powered food waste reduction and redistribution platform that helps restaurants minimize waste through AI-driven demand forecasting, while enabling surplus food sales at discounted rates and corporate-sponsored meal donations. It integrates smart fridges for safe food storage, ensuring redistribution to the needy. The solution is sustainable, scalable, and profitable, aligning with Nexus BGI’s mission of ethical AI innovation. Revenue comes from food sales, AI subscriptions, and sponsorships, making it self-sustaining while reducing hunger and environmental waste.
New AI service
The AI-powered Food Waste Optimization & Redistribution service uses AI IoT and blockchain to reduce food waste optimize inventory and redistribute surplus food. It predicts demand offers dynamic pricing and connects food businesses with NGOs. With solar-powered smart fridges and a marketplace for surplus food it ensures sustainability food security and social impact.
The AI service takes in real-time data from restaurants grocery stores and farms including sales trends inventory levels expiration dates and food quality images. It also integrates IoT sensor data from smart fridges and blockchain records while allowing NGOs to input meal request and funding.
The AI service generates optimized surplus food predictions real-time redistribution matches freshness assessments and automated logistics plans. It provides businesses with insights on waste reduction sends notifications for food pickups and tracks donations via blockchain for transparency.
New AI service
• Uses AI-powered image recognition to assess food quality. • Detects signs of spoilage and determines if food is safe for redistribution. • Reduces human errors in food quality control.
• AI models trained on millions of food images to detect spoilage signs (color changes mold etc.). • Smart cameras and mobile apps scan food items for automatic assessment. • AI integrates with food safety databases to provide instant decisions.
• Instant quality grading (e.g. fresh nearing expiry unfit for consumption). • Automated rejection of unsafe food preventing health hazards. • Food safety certification logs ensuring only quality food gets redistributed.
New AI service
• Ensures real-time food monitoring to reduce spoilage. • Helps food donors store food properly before redistribution. • Notifies users when food is nearing expiration to trigger early donations.
• AI-driven temperature and humidity monitoring to track storage conditions. • Predictive analytics to alert restaurants and grocery stores when food will go bad. • IoT connectivity to sync with donation platforms and automate redistribution.
• Sends real-time alerts to users about food expiration risks. • Automatically updates food inventory on donation platforms. • Triggers donation recommendations notifying nearby NGOs of surplus food availability.
This phase focuses on building the AI models that will power food waste monitoring donation matching and quality assessment. It includes developing AI-powered smart fridges computer vision models for food condition analysis and blockchain integration for tracking food donations transparently. Partnerships with local restaurants NGOs and food suppliers will be established to ensure seamless implementation.
• AI algorithms for food spoilage prediction and donation optimization. • IoT-enabled smart fridge prototype with real-time tracking. • Beta version of the donation-matching AI platform. • Blockchain test network for tracking food from donation to recipient.
$15,000 USD
• AI models achieve 80%+ accuracy in food spoilage detection. • First prototype of the smart fridge functions as expected. • Blockchain successfully logs at least 100 food donations in testing. • Positive feedback from initial partner restaurants and NGOs.
A small-scale pilot program will be launched in Lagos involving select restaurants grocery stores and NGOs. The goal is to test the real-world performance of the AI-driven system in monitoring matching and redistributing food. Data from the pilot will help fine-tune the AI models and improve logistics.
Live pilot deployment in at least 10 restaurants and food suppliers. • Real-time food redistribution tracking dashboard. • Initial user feedback and system performance data.
$8,000 USD
At least 500 meals rescued and successfully distributed. • AI accuracy improves by 10% through real-world data refinement. • NGOs report efficiency improvements in food pickup and distribution. • Partnerships expand to at least five new food donors.
After analyzing data from the pilot the AI models will be optimized for higher accuracy faster processing and better logistics recommendations. Expansion plans will begin onboarding more restaurants markets and NGOs across multiple districts in Lagos.
• Updated AI models with enhanced accuracy and faster processing speed. • Expansion of the smart fridge deployment to at least 50 locations. • Mobile app for restaurant registration food logging and NGO requests.
$6,500 USD
• AI predictions surpass 90% accuracy in food condition assessment. • 2000+ meals redistributed successfully. • At least 100 restaurants and grocery stores onboarded. • 80%+ positive user feedback on ease of use and efficiency.
The system will optimize real-time delivery routes ensuring food gets to recipients in the fastest way possible. AI will track traffic patterns weather conditions and delivery timing to avoid delays. The system will also integrate with smart storage units to ensure proper food handling reducing spoilage.
Expansion to Food Donation Networks & Food Banks Partnering with verified NGOs food banks and community kitchens will ensure that surplus food is properly distributed. AI-driven analytics will match food supply with demand hotspots prioritizing areas with higher food insecurity.
$7,000 USD
AI-Driven Surplus Prediction Tools AI will predict when restaurants, supermarkets, and farms have excess food, allowing proactive redistribution before it becomes waste. Predictive analytics will help businesses minimize overproduction while increasing food donations.
Expansion Strategy for Replicability in Africa The solution will be designed for easy replication in other African cities. AI-powered dashboards will provide region-specific insights to adjust to different food waste patterns infrastructure and logistics challenges.
Partnerships with NGOs and Sustainability Groups Collaborations with global food security organizations will provide funding credibility and reach. Partnering with UN agencies local food programs and climate advocacy groups will help improve food sustainability at scale.
$5,500 USD
Enhanced AI Sustainability Insights & Reporting AI-generated reports will track food waste reduction impact, CO2 emissions saved, and community beneficiaries. These insights will be shared with stakeholders, allowing businesses and donors to see the value of their contributions.
Research & Whitepaper Development for Policy Advocacy A detailed whitepaper will be developed to show policymakers how AI-driven food waste management can improve food security. It will include case studies real-time data and recommendations for food redistribution policies.
Awareness Campaigns & Stakeholder Outreach Public awareness campaigns will use AI-powered storytelling to highlight the economic and environmental impact of food waste. Engaging businesses communities and policymakers through digital channels will drive participation.
$4,000 USD
Compliance & Ethical AI Framework Development Ethical AI standards will be put in place to ensure data privacy, fairness in food distribution, and bias-free AI decision-making. The framework will align with global AI governance policies and local food safety regulations.
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