Smart Farming Backend API & Disease Detection System (Napta)

نظرة عامة (Overview):

Developed a comprehensive backend API for a smart agriculture mobile application designed to guide farmers from land preparation through harvest. The system features an AI-powered plant disease detection module and a built-in, real-time community platform for farmers.

التخطيط وهيكلة النظام (Planning & Architecture):

Designed the full backend from scratch utilizing Clean Architecture. The system was carefully structured to decouple three independent modules: crop management, ML integration, and community interactions, ensuring a scalable and maintainable codebase.

الحل التقني (Technical Solution):

Engineered the core APIs to generate dynamic fertilization plans based on specific plant types and land sizes.

Integrated a Machine Learning model for plant disease detection, allowing farmers to scan a leaf and receive instant treatment recommendations.

Implemented real-time private messaging and a public community feed using SignalR.

النتائج (Impact):

Delivered a complete, production-grade backend that successfully unified ML integration, real-time messaging, and domain APIs across three independent modules within the strict timeline of a graduation project.