Inspiration
The idea came from a very simple, real moment. Before leaving on vacation, I opened my fridge and realized I had so many good products that would expire while I was away. I couldn’t take them with me, and I had no one nearby to give them to for free. In the end, I had to throw them away, and it felt wrong. That’s when I thought — what if there was an easy way to share this food with someone who truly needs it? MealBridge was born from that thought: to make it simple and natural to share, instead of waste.
What it does
MealBridge makes donating extra food as easy as taking a picture. You snap a photo, and our AI helps by filling in details such as food type, expiry date, and storage requirements. This makes the process fast and safe. People nearby can see what’s available on a map, reserve what they need, and arrange a pickup. Donors feel good knowing their food won’t go to waste, and recipients receive a meal they might not have had otherwise.
How we built it
We started with a clean, friendly web app built in Next.js and Tailwind, with Supabase for accounts and storage. Then we added AI — using GPT-5 nano, which can look at a photo and figure out details like category or expiry. We also built moderation tools so the community stays safe and trusted, plus notifications and dashboards to make everything smooth for donors, recipients, and admins.
Challenges we ran into
One of the most challenging aspects was setting up the AI to recognize expiry dates and packaging in everyday fridge photos accurately. Another was designing the experience so it feels safe and trustworthy for everyone. And, of course, building a working demo in the short hackathon window was its own challenge.
Accomplishments that we're proud of
We’re proud that MealBridge actually works end-to-end: donations, reservations, notifications, even admin moderation. We integrated AI in a way that really helps people instead of adding friction. We also secured the domain mealbridge.net so this project can live beyond the hackathon. Most importantly, we created something that feels meaningful — a tool that could actually help communities.
What we learned
We learned how powerful multimodal AI can be when applied to real problems. We also learned that building trust features — things like clear pickup windows, reporting tools, and transparent dashboards — is just as important as the core functionality. And we learned that sometimes the smallest ideas, like not wanting to throw away food before a trip, can inspire projects with real social impact.
What's next for Meal Bridge
We intend to continue development on mealbridge.net and turn this into a real platform. Next steps include improving AI safety checks (like spotting allergens or spoiled food), partnering with NGOs and delivery companies, and launching campaigns to bring more donors and recipients onboard. We also want to make the app multilingual so more communities can benefit.
Winning this prize would help us promote MealBridge, reach new partners, and show people everywhere that sharing food is possible, easy, and powerful.
Built With
- appwrite
- nextjs
- open
- openai
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