AgriSaarthi

Inspiration

Agriculture remains the backbone of India, yet most farmers still rely on intuition, delayed advice, or fragmented information while making high-risk decisions.

What it does

AgriSaarthi functions as a digital co-farmer that assists farmers throughout the entire crop lifecycle. It provides personalized crop recommendati

How we built it

We designed AgriSaarthi as a mobile-first, cloud-based application using modern web technologies. The frontend focuses on

Challenges we ran into

One of the biggest challenges was designing an interface that is intuitive for farmers with varying levels of digital literacy. Another challenge was ensuring that recommendations remained practical and locally relevant despite limited real-wo

Accomplishments that we're proud of

We successfully built a functional, end-to-end agriculture platform that integrates crop guidance, sustainability, and market acc

What we learned

This project taught us that impactful technology must be inclusive, not just advanced. We learned how critical usability, language, and trust are when designing for rural users. From a technical perspective, we gained experience in building scs.

What's next for AgriSaarthi

Our next steps include enhancing region-specific intelligence, improving accuracy of crop issue detection, and expanding

Built With

• ai-based-recommendation-systems
• ai-integration-apis-(openai-or-similar)
• analysis
• api
• cloud-hosting-(vercel)
• cloud-hosting-platforms
• image
• image-analysis-models
• javascript
• node.js
• react
• supabase-(or-firebase)-backend
• supabase/firebase
• tailwind-css
• third-party
• vite
• weather-data-apis