How much is Adaptive AI Research Assistant Using RAG and LLMs?

Adaptive AI Research Assistant Using RAG and LLMs is listed for sale at $1,000 USD.

What are Adaptive AI Research Assistant Using RAG and LLMs's current metrics?

Monthly visitors: Pre-launch. Monthly revenue: Undisclosed.

Adaptive AI Research Assistant Using RAG and LLMs - Sell Project

Listed October 17, 2026

About Adaptive AI Research Assistant Using RAG and LLMs

An AI-powered research assistant that uses RAG and LLMs to answer questions from

Project Research Assistant Project Research Assistant is an AI-powered platform designed to help students, researchers, and developers understand project reports, explore technical concepts, and discover relevant academic research papers. The system uses Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Generative AI to provide intelligent, context-aware answers. Users can upload PDF, PPTX, and DOCX documents and ask questions about their content. The platform intelligently selects between three approaches: Document-Based Question Answering: Retrieves relevant information from uploaded reports using RAG and provides answers with source references. AI-Powered Assistance: Uses Google Gemini to answer questions when the uploaded documents lack sufficient information, while distinguishing general AI knowledge from document-based answers. Academic Research Discovery: Searches OpenAlex and Semantic Scholar to recommend relevant research papers based on project topics and user queries. The application combines a responsive frontend built with HTML, CSS, JavaScript, and Bootstrap, a Node.js and Express backend, and a Python FastAPI AI service. MongoDB manages application data, Cloudinary stores uploaded documents, and ChromaDB supports semantic document retrieval. The project's goal is to simplify project research, reduce manual information searching, and provide a unified platform for document understanding, intelligent question answering, and academic literature discovery.

Project details

Website: https://github.com/Rakshu9595/Project-Research-Assistant.git

Next step: The buyer can take Project Research Assistant further by transforming it into a fully deployed, AI-powered research platform for students, researchers, universities, and educational institutions.Future Growth Opportunities:<ol><li data-list="ordered">Commercial Launch: Complete development, deploy the platform, and attract students and researchers.</li><li data-list="ordered">Monetization: Introduce freemium plans, premium subscriptions, and institutional licensing.</li><li data-list="ordered">Advanced AI Features: Improve RAG accuracy, citation verification, hallucination detection, and personalized research recommendations.</li><li data-list="ordered">Multilingual Support: Enable document analysis and question answering in multiple languages.</li><li data-list="ordered">Mobile Application: Develop Android and iOS applications for wider accessibility.</li><li data-list="ordered">Institutional Partnerships: Collaborate with colleges, universities, and research organizations.</li><li data-list="ordered">Research Integrations: Expand academic search capabilities and integrate additional research databases.</li><li data-list="ordered">Scalability: Optimize cloud infrastructure to support more users and larger document collections.</li></ol>With further development, testing, and marketing, the buyer could position the project as a subscription-based academic research SaaS platform with long-term growth potential.

For sale

Asking price: $1,000 USD

What's included

Source code, All related data, All related design work

The sale of Project Research Assistant could include the complete source code, frontend and backend applications, Python FastAPI AI service, RAG implementation, document processing modules, research paper search integrations, database schemas, API documentation, and project setup instructions. The GitHub repository, technical documentation, and deployment configuration files can also be included. I am open to providing reasonable technical guidance during the handover to help the buyer understand the system, configure API integrations, and deploy the application. The project offers opportunities for further development, including premium subscriptions, institutional licensing, multilingual support, and advanced AI research features. Third-party API accounts, credentials, cloud services, and any intellectual property transfer would be subject to separate agreement. The exact deliverables and support period can be finalized with the buyer.

Reason for selling

I am busy with other things and no longer have time to maintain this project.

Project metrics

Average Monthly Visitors: Pre-launch

Average Monthly Revenue: Undisclosed

Average Monthly Downloads: Pre-launch / New project