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FarmDrop Logo
About the Project
Inspiration Our team was inspired by a simple but urgent question:
Why do millions of pounds of edible produce go to waste while communities face rising rates of food insecurity and poor health outcomes? We imagined a platform that uses GeoAI + AI decision-making to reroute surplus produce from growers to underserved neighborhoods in real time.
What We Learned - GeoAI mapping to identify food deserts and high-need zones - AI optimization models for equitable routing - Data ethics and bias reduction - Cybersecurity for trust and privacy - Designing for accessibility, multilingual needs, and low-tech users
How We Built It
- Gathered Data
- GeoAI Processing
- AI Decision Engine
- Secure System Design
- UI/UX Layer
Challenges We Faced
- Data fragmentation
- Bias in environmental and health data
- Balancing simplicity with accuracy
- Ensuring ethical use
- Cybersecurity considerations
- Computational limits
Our Vision This project shows how AI, geography, and ethical design can uplift underserved communities by making health and environmental systems more transparent and equitable.
Built With
- esri
- mindstudio
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