AgriVision is a mobile application that utilizes deep learning and computer vision to detect lettuce diseases from images. By leveraging a CNN-based model, the app helps farmers and agriculturists diagnose plant health efficiently and take early action to prevent crop loss.
✅ AI-Powered Disease Detection – Snap or upload an image to identify lettuce diseases.
✅ Real-Time Analysis – Get instant results with AI-based classification.
✅ Mobile-Friendly – Built with React Native and Expo for cross-platform support.
✅ Modern UI – Styled with TailwindCSS for a sleek and responsive experience.
✅ Database Integration – Uses PostgreSQL for storing disease data and user records.
- Frontend: React Native, Expo, TailwindCSS
- Backend: PostgreSQL, Node.js (Express)
- AI Model: Custom-trained CNN for lettuce disease classification
- Cloud Storage: TBD (AWS/GCP/Firebase)
- State Management: TBD (Context API/Redux/Zustand)
- Capture or upload an image of lettuce leaves.
- AgriVision preprocesses the image and sends it to the trained CNN model.
- The model predicts the disease (if any) and provides recommendations.
- View disease history and insights in the app.
- The CNN model is trained using labeled lettuce disease datasets.
- Built with TensorFlow/Keras or PyTorch.
- Training scripts and dataset preprocessing will be included in
model/directory.
- Train and optimize CNN model
- Implement backend API with PostgreSQL
- Develop and test React Native UI
- Integrate AI model with mobile app
- Deploy the app to Google Play Store & App Store
We welcome contributions! Feel free to open issues and pull requests.
MIT License © 2025 AgriVision Team