Inspiration
We were inspired by learning how much medical equipment goes to waste every year — and how a smart matching algorithm could make a real difference by connecting surplus supplies with clinics in need.
What It Does
MediMatchNinja matches the right medical supplies to the right clinics at the right time. It predicts demand, ranks offers, and prioritizes clinic requests — ensuring resources go where they’re needed most.
How We Built It
We combined business understanding from our conversations with the NGO and encoded their operational rules into our system. We then built a front-end and back-end that integrate seamlessly with their existing website API.
Challenges We Ran Into
Our biggest challenges were finding the best model fit, mathematically translating business needs into data logic, and designing a system flexible enough to integrate smoothly with the NGO’s infrastructure.
Accomplishments We’re Proud Of
We successfully built an MVP that generates personalized recommendations using real NGO data. The model predicts the probability of each clinic needing specific items and displays a ranked list of top recommendations directly in MedCycle’s app and website.
What We Learned
We learned how to rapidly ideate, prototype, iterate, and collaborate with business stakeholders to balance technical feasibility with real-world impact.
What’s Next for MedCycle — MediMatchNinja
Next, we plan to expand data coverage, refine demand detection models, and enhance our system’s ability to anticipate clinic needs in real time.
Built With
- lovable
- python
- supabase
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