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This project utilizes a user-friendly web interface built with Next.js for the frontend and a backend server powered by Flask. The classification models are implemented using TensorFlow, Convolutional Neural Network (CNN) models.\n\n## Features\n\n- User-friendly web interface for uploading and classifying pet images.\n- Backend server for handling image classification requests.\n- Model training and testing functionality for users who want to experiment with new models.\n\n## Technologies Used\n\n- Next.js: A React framework for building user interfaces.\n- Flask: A lightweight web application framework for Python.\n- Python: The programming language used for the backend and model training.\n- TensorFlow: An open-source machine learning framework used for implementing ANN and CNN models.\n\n## Setup\n\n1. **Clone the repository:**\n\n   ```bash\n   git clone https://github.com/shivam6862/Pet-Classify-Hub.git\n   ```\n\n2. **Install dependencies:**\n\n   ```bash\n   cd Pet-Classify-Hub/frontend\n   npm install\n   ```\n\n   ```bash\n   cd Pet-Classify-Hub/backend\n   pip install -r requirements.txt\n   ```\n\n3. **Run the development server:**\n\n   ```bash\n   npm run dev\n   ```\n\n   ```bash\n   cd backend\n   python main.py\n   ```\n\n   The app will be accessible at `http://localhost:3000`.\n\n## Usage\n\n1. **Navigate to the web interface in your browser.**\n\n2. **Upload an image in the app.**\n\n3. **Click the \"Recognize\" button to see the model's prediction.**\n\n4. **Explore the training section to train and test new models.**\n\n## Training Models\n\nTo train new models, follow these steps:\n\n1. **Prepare a dataset of cat and dog images.**\n\n2. **Place the dataset in the `data` directory.**\n\n3. **Use the training functionality in the app to train and test new models.**\n\n## Snapshot\n\n### Result\n\n![Result](./IMAGE.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshivam6862%2Fpet-classify-hub","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshivam6862%2Fpet-classify-hub","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshivam6862%2Fpet-classify-hub/lists"}