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---
title: PRISM 2.0
emoji: 🚀
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false
---
# PRISM 2.0 - Advanced AI Content Analysis
[](https://devranx-prism2-0.hf.space/)
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.
## 🌟 Features
### 🔍 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.
### 📝 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.
### ⚡ 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.
## 🚀 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.
## 📦 Installation (Local)
1. **Clone the repository**
```bash
git clone https://github.com/devsingh02/PRISM.git
cd PRISM
```
2. **Set up Python Environment**
```bash
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install -r requirements.txt
```
3. **Run the Application**
```bash
python app.py
```
The app will run at `http://localhost:7860`.
## 🐳 Docker Support
Prism is fully containerized.
```bash
docker build -t prism-app .
docker run -p 7860:7860 prism-app
```
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