{"id":28548978,"url":"https://github.com/ovuiproduction/research-assistant","last_synced_at":"2026-04-24T23:33:49.240Z","repository":{"id":294396784,"uuid":"984599244","full_name":"ovuiproduction/Research-Assistant","owner":"ovuiproduction","description":"AI-Powered Research Assistant – A smart tool that helps researchers find relevant papers, recommend journals, ask questions about content, humanize AI text, and detect AI-generated writing. 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[Demo](#)\n\nAn AI-powered co-research assistant that simplifies academic research using intelligent search, interactive Q\u0026A, and humanized text transformation to help bypass AI content detection mechanisms.\n\n---\n\n## 🚀 Objective\n\n**AI-ResearchMate** is designed to:\n- Assist researchers in finding high-quality academic content.\n- Answer research questions using a RAG (Retrieval-Augmented Generation) pipeline.\n- Humanize AI-generated content to avoid AI detection.\n- Identify and highlight AI-written sections in research drafts and rewrite them in a more human tone.\n\n---\n\n## 🧠 Features\n\n- 🔍 **Smart Paper Search**: Retrieve top relevant research papers to basis of abstract , title or .author names.\n- 🔍 **Smart Journal Search**: Suggesting Journals based on domain and keywords also filterring Qurtile based.\n- 💬 **Interactive Q\u0026A**: Ask questions about research content and get answers powered by Large Language Models.\n- 📝 **AI Content Humanization**: Use BART-based pipeline to rewrite AI-generated text into human-like writing.\n- 🚨 **AI Content Detection**: Detect and highlight AI-written content to improve authenticity and originality.\n\n---\n\n## 🧰 Tech Stack\n\n- **Language**: Python\n- **LLM Models**: BART (`facebook/bart-large` via HuggingFace) , all-MiniLM-L6-v2\n- **Vector Search**: FAISS\n- **Database**: MongoDB\n- **Datasets**: \n  - ArXiv Paper Dataset\n  - Journal Ranking Dataset\n  - Self-Curated AI-Human Text Pair Dataset:\n---\n\n## 🛠️ Key Contributions\n\n- 🔧 Developed a RAG-based **research \u0026 journal retrieval system** using document embeddings stored in FAISS.\n- ✍️ Engineered a **BART-powered content humanization pipeline** that rewrites detected AI content to human tone.\n- 🧪 Created an **AI content detector** to flag AI-written sections and replace them with more natural writing.\n\n---\n\n## 📦 Setup Instructions\n\n1. **Clone the Repository**\n   ```bash\n   git clone https://github.com/yourusername/AI-ResearchMate.git\n   cd AI-ResearchMate\n   ```\n\n## License\nThis project is licensed under the [MIT License](https://github.com/ovuiproduction/Research-Assistant/blob/main/LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fovuiproduction%2Fresearch-assistant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fovuiproduction%2Fresearch-assistant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fovuiproduction%2Fresearch-assistant/lists"}