HungerScope

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Inspiration :

              One evening while walking, I saw something I couldn’t ignore — people searching for food, while nearby perfectly good meals were being thrown away. That moment hit me deeply. Millions go to bed hungry every single night, not because food doesn’t exist, but because it doesn’t reach them in time. The unfairness of that stayed with me. HungerScope was born from that walk, from the simple hope that technology can turn empathy into action, helping bridge the gap between waste and need so that no plate stays empty when food is available.

What it does :

               HungerScope is an AI-powered platform designed to fight hunger where it starts. It:

~ Predicts hunger hotspots in cities before the crisis deepens.

~ Finds and shows nearby food banks using open geospatial data.

~ Gives NGOs, volunteers, and local authorities an interactive map to plan food distribution with compassion and efficiency.

How we built it :

~ Backend: FastAPI to handle hunger predictions and food bank APIs.

~ Frontend: HTML, CSS, JavaScript, with Leaflet.js for rich, interactive maps.

~ APIs & Data: Combined open data sources with predictive modeling to guide where food is needed most.

Challenges we ran into :

~ Scarcity of real hunger datasets, making accurate predictions difficult.

~ API rate limits restricting access to crucial data.

~ Balancing a smooth frontend–backend integration.

~ Designing a map interface that feels both simple and powerful for those who need it.

Accomplishments that we're proud of :

~ Building a working prototype that makes a difference.

~ Blending real geospatial data with predictive insights.

~ Crafting a scalable architecture ready for real-world datasets.

~ Most importantly, creating a tool that carries the potential for real social impact — turning wasted food into saved lives.

What we learned :

~ How to use geospatial APIs like OpenStreetMap with purpose.

~ Building modular, scalable APIs with FastAPI.

~ The importance of clean data preprocessing when working with social and economic indicators.

~ That teamwork, empathy, and determination can overcome hackathon pressure.

What's next for HungerScope :

~ Training advanced ML models for sharper hunger predictions.

~ Integrating real-time NGO and government data.

~ Allowing community contributions, so volunteers can add and update food bank info.

~ Deploying HungerScope as a public web app, empowering NGOs and communities across the world.

Built With

• css
• html
• javascript
• leaflet.js
• openstreetmap
• python