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