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**On Windows:**\n     ```bash\n     venv\\Scripts\\activate\n     ```\n   - **On Linux/macOS:**\n     ```bash\n     source venv/bin/activate\n     ```\n4. **Install Required Packages**\n    ```bash\n   pip install -r requirements.txt\n    ```\n5. **Run the Application**\n \n   ```bash\n   python manage.py runserver\n   ```\n   \n### Freshness Detector\n\n![Smart Vision](/static/images/freshness-detector-img.png)\n - Predicts the freshness and identifies the class (type) of fruits and vegetables.\n - Utilizes a model I trained using a dataset from Kaggle with MobileNetV2 as the base model in TensorFlow.\n\n### Feature Extractor\n\n![Smart Vision](/static/images/feature-extractor-img.png)\n - Extracts product details such as MRP, EAN, manufacture date, and expiry date using OCR powered by Pytesseract.\n - Processes the text to validate the expiry date of the product.\n\n\n### Object Detection\n\n![Smart Vision](/static/images/object-detection-img.png)\n - Counts and highlights products within an image.\n - Employs the EfficientDet model from TensorFlow Hub.\n\n\n### Dataset For `Freshness Detector`\n\n**Download the dataset from Kaggle.**\n\n- Link : https://www.kaggle.com/datasets/muhriddinmuxiddinov/fruits-and-vegetables-dataset\n\nThis dataset contains images of the following fruits and vegetables items:\n\n**Fresh fruits-** fresh banana, fresh apple, fresh orange, fresh mango and fresh strawberry.\n\n**Rotten fruits-** rotten banana, rotten apple, rotten orange, rotten mango and rotten strawberry.\n\n**Fresh vegetables-** fresh potato, fresh cucumber, fresh carrot, fresh tomato and fresh bell pepper.\n\n**Rotten vegetables-** rotten potato, rotten cucumber, rotten carrot, rotten tomato and rotten bell pepper.\n\n\n\n### Pre-trained Model / Architecture for `Object Detection`\n\n- Link : https://tfhub.dev/tensorflow/efficientdet/d0/1\n\n### Tesseract OCR Engine for Optical Character Recognition\n\n- Tesseract : https://github.com/tesseract-ocr/tesseract\n\n- Pytesseract : https://pypi.org/project/pytesseract/\n\n\n![Smart Vision](/static/images/smart-vision-bottom.png)\n\n\n## References and Resources\n\n - Django Documentation: https://docs.djangoproject.com/\n - Python Official Documentation: https://docs.python.org/3/\n - Keras : https://keras.io/\n - TensorFlow : https://www.tensorflow.org/\n - MobileNetV2 : https://keras.io/api/applications/mobilenet/\n - OpenCV : https://opencv.org/\n - SQLite : https://www.sqlite.org/index.html\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwilliyam-m%2Fflipkart_grid_6_0","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwilliyam-m%2Fflipkart_grid_6_0","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwilliyam-m%2Fflipkart_grid_6_0/lists"}