Add deepcrop detection

projects/detection/DeepCrop/.netlifyignore

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+backend/
+*.keras
+*.h5
+*.ipynb
+temp/

projects/detection/DeepCrop/.vercel/README.txt

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+> Why do I have a folder named ".vercel" in my project?
+The ".vercel" folder is created when you link a directory to a Vercel project.
+
+> What does the "project.json" file contain?
+The "project.json" file contains:
+- The ID of the Vercel project that you linked ("projectId")
+- The ID of the user or team your Vercel project is owned by ("orgId")
+
+> Should I commit the ".vercel" folder?
+No, you should not share the ".vercel" folder with anyone.
+Upon creation, it will be automatically added to your ".gitignore" file.

projects/detection/DeepCrop/.vercel/project.json

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+{"projectId":"prj_Aq8QsELhAw5kpptNIBREgmlnwHwe","orgId":"team_AXrWRZiA742uO8KOOPn2ih5U","projectName":"deep-crop"}

projects/detection/DeepCrop/.vercelignore

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+backend/
+*.keras
+*.h5
+*.ipynb
+temp/

projects/detection/DeepCrop/README.md

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+# DeepCrop
+
+## Description
+A machine learning project for crop disease detection using deep learning. The system can identify healthy crops and detect diseases like Early Blight and Late Blight in potato plants.
+
+## Project Structure
+```
+DeepCrop/
+├── data/              # Dataset files and test images
+├── notebooks/         # Jupyter notebooks for experimentation
+├── src/              # Source code (Flask API)
+├── models/           # Saved trained models
+├── frontend/         # React frontend application
+├── requirements.txt  # Python dependencies
+└── README.md        # Project documentation
+```
+
+## Dataset
+The project uses a crop disease dataset with multiple classes including:
+- Healthy
+- Early Blight
+- Late Blight
+- Other disease categories
+
+## Installation
+```bash
+pip install -r requirements.txt
+```
+
+## Usage
+
+### Backend API
+Start the Flask server:
+```bash
+cd src
+python app.py
+```
+
+The API will run on `http://localhost:5000`
+
+### Frontend
+```bash
+cd frontend
+npm install
+npm run dev
+```
+
+### API Endpoints
+- `POST /predict` - Upload an image for disease prediction
+- `GET /` - Health check endpoint
+
+## Model Details
+- **Algorithm used:** Convolutional Neural Network (CNN) with Keras/TensorFlow
+- **Input size:** 128x128 pixels
+- **Classes:** 3 main classes (Healthy, Early Blight, Late Blight)
+- **Framework:** TensorFlow/Keras
+
+## Results
+The model provides:
+- Disease classification
+- Confidence percentage
+- Support for three main crop health categories
+
+## Contributing
+Contributions are welcome! Please feel free to submit a Pull Request.
+
+## License
+MIT License

projects/detection/DeepCrop/frontend/.vercelignore

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+node_modules/
+dist/
+*.log
+.DS_Store

projects/detection/DeepCrop/frontend/README.md

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+# React + TypeScript + Vite
+
+This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
+
+Currently, two official plugins are available:
+
+- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) (or [oxc](https://oxc.rs) when used in [rolldown-vite](https://vite.dev/guide/rolldown)) for Fast Refresh
+- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh
+
+## React Compiler
+
+The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation).
+
+## Expanding the ESLint configuration
+
+If you are developing a production application, we recommend updating the configuration to enable type-aware lint rules:
+
+```js
+export default defineConfig([
+  globalIgnores(['dist']),
+  {
+    files: ['**/*.{ts,tsx}'],
+    extends: [
+      // Other configs...
+
+      // Remove tseslint.configs.recommended and replace with this
+      tseslint.configs.recommendedTypeChecked,
+      // Alternatively, use this for stricter rules
+      tseslint.configs.strictTypeChecked,
+      // Optionally, add this for stylistic rules
+      tseslint.configs.stylisticTypeChecked,
+
+      // Other configs...
+    ],
+    languageOptions: {
+      parserOptions: {
+        project: ['./tsconfig.node.json', './tsconfig.app.json'],
+        tsconfigRootDir: import.meta.dirname,
+      },
+      // other options...
+    },
+  },
+])
+```
+
+You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules:
+
+```js
+// eslint.config.js
+import reactX from 'eslint-plugin-react-x'
+import reactDom from 'eslint-plugin-react-dom'
+
+export default defineConfig([
+  globalIgnores(['dist']),
+  {
+    files: ['**/*.{ts,tsx}'],
+    extends: [
+      // Other configs...
+      // Enable lint rules for React
+      reactX.configs['recommended-typescript'],
+      // Enable lint rules for React DOM
+      reactDom.configs.recommended,
+    ],
+    languageOptions: {
+      parserOptions: {
+        project: ['./tsconfig.node.json', './tsconfig.app.json'],
+        tsconfigRootDir: import.meta.dirname,
+      },
+      // other options...
+    },
+  },
+])
+```