Inspiration

Millions of people go hungry every day while surplus food is wasted. I wanted to create a platform that bridges this gap by predicting hunger hotspots and showing nearby food banks, helping NGOs, volunteers, and local authorities deliver food where it’s needed most.

What it does

HungerScope is an AI-powered platform that:

  • Predicts hunger hotspots in cities.
  • Locates nearby food banks using geospatial data (OSM).
  • Provides an interactive map for NGOs and volunteers to plan food distribution efficiently.

How we built it

  • Backend: FastAPI for hunger prediction and food bank APIs.
  • Frontend: HTML, CSS, JavaScript with Leaflet.js for maps and visualization.
  • APIs & Data: Used open data sources to fetch locations of food banks and generate hunger predictions.

Challenges we ran into

  • Limited availability of real hunger datasets.
  • API rate limits and restrictions on free services.
  • Ensuring smooth frontend-backend integration.
  • Designing a clean and intuitive map visualization.

Accomplishments that we're proud of

  • Building a working prototype in a short time.
  • Integrating real geospatial data with predictions.
  • Designing a scalable architecture that can grow with real-world datasets.
  • Creating a tool that can have real social impact.

What we learned

  • How to work with geospatial APIs like OpenStreetMap.
  • Using FastAPI to build modular and scalable APIs.
  • Importance of data preprocessing when dealing with socio-economic indicators.
  • Collaborating effectively under hackathon time pressure.

What's next for HungerScope

  • Train advanced machine learning models for hunger prediction.
  • Integrate real-time NGO and government datasets.
  • Enable community contributions, where volunteers can add/update food banks.
  • Deploy as a public web app to be used by NGOs worldwide.

Built With

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Updates

posted an update

I have built HungerScope, an AI-powered platform that predicts hunger hotspots and locates nearby food banks in real time. The project aims to help NGOs, volunteers, and local authorities deliver food more efficiently to the areas that need it most.

  1. Frontend built with HTML, CSS, JavaScript (interactive maps & visualization)
  2. Backend powered by Python (FastAPI) with real-time data handling
  3. GitHub repo & documentation ready
  4. Demo video created to showcase the platform

Next steps:

  1. Improve prediction accuracy with more datasets
  2. Add user contributions (volunteers & NGOs can report hunger areas)
  3. Deploy on cloud for wider accessibility

Together, let’s fight hunger with data and technology.

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