Nasij
Built for a hackathon organized by Easy, Nasij won second place overall and received a perfect development mark. It is a multi surface platform designed to optimize wool traceability and supply-chain logistics in Algeria. The platform bridges low-tech field realities (sending automated SMS updates to sheep farmers) with large-scale administrative operations (data warehouses for organizers). Engineered by a team of highly skilled developers, the codebase integrates Flutter (mobile client), Next.js (web dashboard), and Flask (APIs).
About This Project
Coordinating supply-chain and wool distribution data across low-bandwidth rural farmers (using SMS) and large, central warehouse organizers during a fast-paced hackathon.
Structured a monorepo combining a Flutter mobile app, a Next.js web application, and a Flask API backend, deploying NLP models, computer vision, and anomaly/fraud detection algorithms.
Awarded 2nd place overall and a perfect score in software development, delivering a production style traceability solution tailored to the Algerian ecosystem.
Full-stack Developer
2026
Public
Hackathon
Technology Stack
Project Story
Coordinating supply-chain and wool distribution data across low-bandwidth rural farmers (using SMS) and large, central warehouse organizers during a fast-paced hackathon.
Structured a monorepo combining a Flutter mobile app, a Next.js web application, and a Flask API backend, deploying NLP models, computer vision, and anomaly/fraud detection algorithms.
Awarded 2nd place overall and a perfect score in software development, delivering a production style traceability solution tailored to the Algerian ecosystem.
Insights & Takeaways
Highlights
- Won 2nd Place and received a perfect mark in the software development category in the hackathon organized by Easy.
- Tailored specifically for the Algerian context, bridging SMS messaging for rural farmers with big-data warehouses for organizers.
- Integrated advanced AI modules, including computer vision, NLP, and anomaly/fraud detection.
Challenges
- Integrating multiple advanced AI models (CV, NLP, fraud detection) under strict hackathon time limits.
- Designing a multi surface ecosystem that bridges low-tech communication (SMS) with high-fidelity analytics.
Lessons Learned
- Collaborating with a team of highly intelligent individuals taught me the power of cohesive monorepo management and how targeting real-world regional problems leads to winning designs.
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