{"id":50854607,"url":"https://github.com/emineugurlu/doc-assistant","last_synced_at":"2026-06-14T17:30:36.212Z","repository":{"id":351059958,"uuid":"1209385943","full_name":"emineugurlu/doc-assistant","owner":"emineugurlu","description":"Enterprise-grade AI document analysis platform. Features automated summarization, semantic Q\u0026A, and keyword search using FastAPI and Gemini AI. Built with a scalable micro-services architecture.","archived":false,"fork":false,"pushed_at":"2026-05-28T14:27:28.000Z","size":145,"stargazers_count":11,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-05-28T16:16:20.873Z","etag":null,"topics":["ai-summarization","computer-engineering","document-analysis","fastapi","full-stack","gemini-api","nlp","python","sqlite"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/emineugurlu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-04-13T11:27:45.000Z","updated_at":"2026-05-28T14:29:11.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/emineugurlu/doc-assistant","commit_stats":null,"previous_names":["emineugurlu/doc-assistant"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/emineugurlu/doc-assistant","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emineugurlu%2Fdoc-assistant","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emineugurlu%2Fdoc-assistant/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emineugurlu%2Fdoc-assistant/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emineugurlu%2Fdoc-assistant/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/emineugurlu","download_url":"https://codeload.github.com/emineugurlu/doc-assistant/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emineugurlu%2Fdoc-assistant/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34331806,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-14T02:00:07.365Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai-summarization","computer-engineering","document-analysis","fastapi","full-stack","gemini-api","nlp","python","sqlite"],"created_at":"2026-06-14T17:30:35.759Z","updated_at":"2026-06-14T17:30:36.207Z","avatar_url":"https://github.com/emineugurlu.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📄🤖 Doc Assistant: Intelligent Document Analysis Ecosystem\n\n\u003e **\"A high-performance, AI-driven platform designed to revolutionize document interaction. By leveraging the Gemini API and a robust FastAPI backend, Doc Assistant enables users to distill complex PDF/TXT data into actionable insights through automated summarization and semantic Q\u0026A.\"**\n\n![AI](https://img.shields.io/badge/AI-Gemini%20API-blueviolet?style=for-the-badge\u0026logo=google-gemini\u0026logoColor=white)\n![Backend](https://img.shields.io/badge/Backend-FastAPI-009688?style=for-the-badge\u0026logo=fastapi\u0026logoColor=white)\n![Database](https://img.shields.io/badge/Database-SQLite-003B57?style=for-the-badge\u0026logo=sqlite\u0026logoColor=white)\n![Status](https://img.shields.io/badge/Status-Active-success?style=for-the-badge)\n\n**Doc Assistant** is a professional-grade analysis tool developed by **Emine Uğurlu**. It addresses the challenge of information overload by providing a scalable environment for instant document parsing, keyword search, and intelligent dialogue with static files.\n\n---\n\n## 🚀 Engineering \u0026 AI Excellence\n\nThis project showcases advanced backend orchestration and AI service integration:\n\n* **Gemini AI Integration:** Implementation of sophisticated prompt engineering within `ai_service.py` to deliver high-context summaries and precise Q\u0026A.\n* **Asynchronous Backend Architecture:** Utilizing **FastAPI** to manage non-blocking I/O operations for seamless file uploads and real-time AI processing.\n* **Document Parsing Engine:** Robust text extraction and chunking logic for PDF and TXT formats handled by a dedicated `file_processor.py`.\n* **Relational Data Management:** Structured storage of document metadata and user interactions using **SQLite** with efficient CRUD operations.\n* **Scalable Routing Layer:** Modular API design with separate routers for AI chat, search, and document management.\n\n## ✨ Core Features\n\n* 🧠 **Semantic Q\u0026A:** Ask complex questions and receive context-aware answers directly from your documents.\n* 📝 **Automated Summarization:** Instantly generate executive summaries for long-form PDF and TXT files.\n* 🔍 **Precision Search:** Deep-file keyword search engine to locate critical information across your library.\n* 🗂️ **Document Management:** Fully interactive dashboard to upload, view, and manage your analyzed documents.\n\n## 📸 Interface Showcase\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://github.com/user-attachments/assets/e4ab7db1-a8ab-4657-9e4a-5e849786acfe\" width=\"100%\" alt=\"Doc Assistant Platform Preview\" /\u003e\n\u003c/p\u003e\n\n---\n\n## 🛠️ Tech Stack\n\n* **Backend:** FastAPI, Python, Pydantic.\n* **AI Engine:** Google Gemini API.\n* **Database:** SQLite.\n* **Frontend:** HTML5, CSS3, JavaScript (Vanilla).\n\n---\n\n## ⚙️ Installation \u0026 Setup\n\n1. **Clone the Repository:**\n ```bash\n  git clone https://github.com/emineugurlu/doc-assistant\n  cd doc-assistant\n   ````\n   \n2.**Environment Configuration:**\nCreate a .env file and add your GEMINI_API_KEY.\n\n3.**Install Dependencies:**\n  ````bash\n  pip install -r requirements.txt\n  ````\n4.**Launch the Server:**\n````bash\n  uvicorn main:app --reload\n````\n\nDeveloped by Emine Uğurlu - Computer Engineer\nEmpowering document intelligence through advanced engineering.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femineugurlu%2Fdoc-assistant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Femineugurlu%2Fdoc-assistant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femineugurlu%2Fdoc-assistant/lists"}