| --- |
| title: PRISM 2.0 |
| emoji: 🚀 |
| colorFrom: blue |
| colorTo: indigo |
| sdk: docker |
| app_port: 7860 |
| pinned: false |
| --- |
| |
| # PRISM 2.0 - Advanced AI Content Analysis |
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| [](https://devranx-prism2-0.hf.space/) |
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| Prism is a state-of-the-art AI application designed for deep content analysis of images and documents. It leverages advanced multi-modal models to ensure content compliance, safety, and quality control. |
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| ## 🌟 Features |
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| ### 🔍 Advanced Visual Analysis |
| - **Ribbon & Layout Detection**: precision detection of visual elements. |
| - **Image Quality Assessment**: Checks for blur, resolution, and pixel variance. |
| - **GNC (General Non-Compliance) Checks**: Identifies unauthorized visual gestures or icons. |
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| ### 📝 Text & Content Intelligence |
| - **Tagline Verification**: content and legibility analysis. |
| - **Risk Assessment**: Detects high-risk content, gambling references, and illegal activities. |
| - **Competitor Analysis**: Identifies competitor brand mentions. |
| - **Sensitive Content Shield**: Filters inappropriate, religious, or violent imagery. |
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| ### ⚡ Powerful Capabilities |
| - **Single & Batch Processing**: Analyze one image or thousands at once. |
| - **Interactive Reports**: Detailed breakdown of passes, fails, and specific issues. |
| - **High-Performance Backbone**: Powered by **InternVL2.5-1B-MPO** for vision-language understanding and **EasyOCR** for robust text extraction. |
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|
| ## 🚀 Live Demo |
| Experience Prism 2.0 live on Hugging Face Spaces: |
| 👉 **[https://devranx-prism2-0.hf.space/](https://devranx-prism2-0.hf.space/)** |
|
|
| ## 🛠️ Tech Stack |
| - **Frontend**: React (Vite) with a premium, responsive UI. |
| - **Backend**: Flask (Python) for API handling and orchestration. |
| - **AI Models**: |
| - `InternVL2.5-1B-MPO` (Vision Language Model) |
| - `EasyOCR` (Optical Character Recognition) |
| - `CLIP` (Semantic Understanding) |
| - **Deployment**: Dockerized for seamless scalability. |
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|
| ## 📦 Installation (Local) |
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|
| 1. **Clone the repository** |
| ```bash |
| git clone https://github.com/devsingh02/PRISM.git |
| cd PRISM |
| ``` |
|
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| 2. **Set up Python Environment** |
| ```bash |
| python -m venv .venv |
| source .venv/bin/activate # On Windows: .venv\Scripts\activate |
| pip install -r requirements.txt |
| ``` |
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| 3. **Run the Application** |
| ```bash |
| python app.py |
| ``` |
| The app will run at `http://localhost:7860`. |
|
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| ## 🐳 Docker Support |
| Prism is fully containerized. |
| ```bash |
| docker build -t prism-app . |
| docker run -p 7860:7860 prism-app |
| ``` |
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|
