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metadata
title: PRISM 2.0
emoji: 🚀
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false

PRISM 2.0 - Advanced AI Content Analysis

Live Demo

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/

🛠️ 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

    git clone https://github.com/devsingh02/PRISM.git
cd PRISM

  2. Set up Python Environment

    python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -r requirements.txt

  3. Run the Application

    python app.py

    The app will run at http://localhost:7860.

🐳 Docker Support

Prism is fully containerized.

docker build -t prism-app .
docker run -p 7860:7860 prism-app