Real-Time Intelligent Summarization Platform - Initial Release
Features:
- Hierarchical map-reduce summarization for unlimited document length
- Multi-model ensemble (BART, Pegasus, T5) with confidence-based voting
- YouTube video summarization with timestamp-aware summaries
- PDF document processing with structure preservation
- Query-focused summarization with TF-IDF relevance scoring
- Hallucination detection with source alignment scoring
- 5 user modes: Student, Researcher, Business, Beginner, Expert
- React frontend with ChatGPT-style interface
- Redis caching and rate limiting
- Docker deployment (CPU and GPU)
Deployment Options:
- Local CPU/GPU
- Hugging Face Spaces (free)
- Google Colab / Kaggle (free GPU)
- AWS / GCP / Railway
Requirements:
- Python 3.9+
- 8GB RAM minimum (16GB recommended)
- 10GB disk space for models
- NVIDIA GPU optional (CUDA 11.8+)