Inspiration
Farmers face unpredictable weather, inefficient irrigation, and lack of real-time crop insights. Agriculture feeds the world, yet most small farmers still rely on guesswork. We wanted to change that by building Vriddhi, a platform that brings intelligence to the soil and helps farmers grow more with fewer resources.
What it does
- Monitors crop health using satellite and drone imagery
- Suggests optimized irrigation schedules with weather intelligence
- Secures supply chain data with blockchain + IPFS
- Provides real-time guidance via a farmer-friendly chatbot
- Offers a clean, interactive dashboard for insights and decisions
How we built it
- Backend: FastAPI for scalable APIs
- AI/ML: PyTorch + scikit-learn for image and weather analysis
- Chatbot: Rasa for natural farmer interactions
- Frontend: Next.js + Material UI + Chart.js
- Database & Blockchain: MongoDB + IPFS + blockchain SDKs
- Deployment: Docker + AWS Lambda for scalable cloud deployment
Challenges we ran into
- Integrating multiple technologies into a seamless platform
- Handling large image uploads & validation efficiently
- Ensuring accuracy of weather API data
- Optimizing serverless deployment for speed and reliability
Accomplishments that we're proud of
- Built a working prototype that integrates AI, blockchain, and chatbots
- Designed a farmer-friendly interface with simple insights
- Created a scalable architecture ready for real-world use cases
- Learned to combine cutting-edge tools into a single ecosystem
What we learned
- How AI, blockchain, and cloud computing can work together for agriculture
- The importance of data validation and reliable APIs in real-world scenarios
- Designing tech that remains simple and accessible for farmers
What's next for Vriddhi
- Expanding to support multiple crops and languages
- Integrating IoT devices for soil and water sensors
- Partnering with agri-supply chains for real-world testing
- Enhancing chatbot with voice-based support for inclusivity
- Scaling the platform to impact farmers globally
Built With
- aws-lamda
- blockchain-sdk
- chart.js
- docker
- fastapi
- ipfs
- javascript
- material-ui
- mongodb
- next.js
- oauth
- python
- pytorch
- rasa
- scikit-learn
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