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Update README with complete project documentation

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  1. README.md +11 -16
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  # 🐟 Food Freshness Classification Using Deep Learning
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  This project aims to classify food images as **Fresh** or **Not Fresh** using deep learning and transfer learning with PyTorch. We explore various CNN architectures and hybrid ensemble models to achieve state-of-the-art accuracy.
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  - [Segment Anything Model (SAM)](https://github.com/facebookresearch/segment-anything)
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  - [EfficientNet Implementation](https://github.com/lukemelas/EfficientNet-PyTorch)
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- =======
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- ---
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- title: Fish Freshness Classifier
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- emoji: 🏒
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- colorFrom: yellow
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- colorTo: green
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- sdk: gradio
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- sdk_version: 5.29.1
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- app_file: app.py
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- pinned: false
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- ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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- >>>>>>> space/main
 
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+ ---
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+ title: Fish Freshness Classifier
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+ emoji: 🐟
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+ colorFrom: blue
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+ colorTo: green
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+ sdk: gradio
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+ sdk_version: 4.19.2
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+ app_file: fish_freshness_app.py
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+ pinned: false
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+ ---
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  # 🐟 Food Freshness Classification Using Deep Learning
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  This project aims to classify food images as **Fresh** or **Not Fresh** using deep learning and transfer learning with PyTorch. We explore various CNN architectures and hybrid ensemble models to achieve state-of-the-art accuracy.
 
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  - [Segment Anything Model (SAM)](https://github.com/facebookresearch/segment-anything)
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  - [EfficientNet Implementation](https://github.com/lukemelas/EfficientNet-PyTorch)