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With seamless integration of **LLMs** (Gemini) and **vector databases** (Qdrant), Inquiro allows you to:\n\n- Upload and organize research papers by project\n- Automatically generate intelligent summaries\n- Chat with the collection of papers content for deeper understanding\n- Translate or explain selection text in paper.\n- Facilitate notes taking.\n- Manage data with MongoDB and Qdrant\n\n---\n\n## Features\n\n- **File Upload**: Upload and validate PDF research papers by project.\n- **Auto Summarization**: Extract content and summarize using LLMs.\n- **Paper Chat**: Ask questions and receive answers from paper content.\n- **Markdown Editing**: View, edit, and update summaries in `.md` format.\n- **Modular Architecture**: Clean separation of routes, controllers, models.\n- **Translator**: Translate the selection text.\n- **MongoDB Integration**: Store project, paper, and summary metadata.\n- **Qdrant Vector DB**: Efficient document embedding and retrieval.\n\n---\n\n## Project Structure\n```\nbackend/\n├── main.py # FastAPI app entry\n├── routes/ # API endpoints \n├── controllers/ # Business logic\n├── models/ # DB models and schemas\n├── AI/\n│ ├── LLM/ # LLM providers (Gemini)\n│ └── VectorDB/ # Vector DB (Qdrant)\n├── utils/ # Utilities for PDFs, paths, enums\n└── config/ # App settings and environment\n```\n\n## Tech Stack\n\n- **Backend**: FastAPI\n- **Database**: MongoDB (via Motor)\n- **LLMs**: OpenAI / Cohere / Gemini\n- **Vector DB**: Qdrant\n- **PDF Processing**: PyMuPDF\n- **Async File Handling**: Aiofiles\n\n---\n\n## 🤝 Contributions\nPRs are welcome! If you want to contribute or report a bug, please open an issue or submit a pull request.\n\n# This Project is Under Active Developing \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftawfikhammad%2Finquiro","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftawfikhammad%2Finquiro","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftawfikhammad%2Finquiro/lists"}