+919888176888
+919888176888
english english
Project Mentor Project Mentor
Cancel
Expand Menu
0
Sign in
Sign up
0 My cart ₹0.00
Shopping cart
Close
Cart

Your cart is empty, and it looks like you haven’t added anything yet.

Click to view
-20%

Medical Knowledge RAG Assistant

0 Orders 0 Wish listed

₹4,999.00

Qty
Total price:
  ₹4,999.00

Detail Description

1. Abstract

The Medical Knowledge RAG Assistant is a Generative AI-powered application that retrieves information from medical documents and answers health-related questions using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). It helps users explore medical research papers, healthcare guidelines, and educational materials by providing context-based answers with source references.

2. Objectives

  1. Develop an AI assistant for searching medical knowledge.
  2. Retrieve relevant information from medical documents.
  3. Generate context-aware answers using LLMs.
  4. Summarize medical research papers and healthcare guidelines.
  5. Provide source references for answer verification.
  6. Improve access to medical educational information.

3. Existing System

Medical information is often searched manually across books, research papers, websites, and PDF documents.

Disadvantages

  1. Searching large medical documents takes time.
  2. Medical information is scattered across multiple sources.
  3. Technical terminology can be difficult to understand.
  4. Finding relevant research evidence requires manual effort.

4. Proposed System

The proposed system uses RAG to retrieve relevant passages from a medical knowledge base and generate answers grounded in those passages.

Key features:

  1. Upload medical PDFs and research papers.
  2. Semantic search across medical documents.
  3. AI-powered question answering.
  4. Medical document summarization.
  5. Source citations and page references.
  6. Interactive follow-up questions.
  7. Document management and chat history.

5. Implementation Procedure

  1. Collect medical research papers and approved educational documents.
  2. Extract text from PDFs using PyMuPDF.
  3. Split documents into searchable text chunks.
  4. Generate embeddings using an embedding model.
  5. Store embeddings in FAISS or ChromaDB.
  6. Retrieve relevant passages for each user question.
  7. Use an LLM to generate answers based on retrieved context.
  8. Display answers with supporting sources.
  9. Test retrieval accuracy and answer relevance.
  10. Deploy the application using Streamlit or React.js.

6. Software Requirements

  1. Language: Python
  2. Frontend: Streamlit or React.js
  3. Backend: Flask or FastAPI
  4. LLM: OpenAI API or a compatible model
  5. RAG Framework: LangChain or LlamaIndex
  6. PDF Processing: PyMuPDF
  7. Embeddings: Sentence Transformers
  8. Vector Database: FAISS or ChromaDB
  9. Environment: VS Code
  10. OS: Windows or Linux

7. Hardware Requirements

  1. Processor: Intel Core i3 or equivalent
  2. RAM: Minimum 8 GB; 16 GB recommended
  3. Storage: At least 10 GB free space
  4. Internet: Required for hosted AI APIs
  5. GPU: Optional for cloud-based models

8. Advantages of the Project

  1. Enables faster medical document searches.
  2. Provides context-based answers from available sources.
  3. Simplifies lengthy medical research papers.
  4. Supports evidence verification through citations.
  5. Improves access to medical educational resources.
  6. Reduces manual information retrieval effort.


No review given yet!

Fast Delivery all across the country
Safe Payment
7 Days Return Policy
100% Authentic Products

You may also like

View all

Responsible AI Governance Dashboard

₹4,999.00

AI Model Robustness Evaluation

₹4,999.00

Adversarial Attack Detection

₹4,999.00

Federated Learning for Medical Data

₹4,999.00

Privacy-Preserving Healthcare Prediction

₹4,999.00

Similar products

College Knowledge-Base Chatbot

₹4,999.00

AI Resume Builder

₹4,999.00

AI Question-Paper Generator

₹4,999.00

AI Lesson-Plan Generator

₹4,999.00

AI Code Explanation Assistant

₹4,999.00

PDF Question-Answering System

₹4,999.00

Research Paper Assistant

₹4,999.00

Legal Document RAG System

₹4,999.00

Multi-Agent Customer-Support System

₹4,999.00

LLM Hallucination Detection

₹4,999.00

Domain-Specific LLM Fine-Tuning

₹4,999.00

Multimodal Educational Tutor

₹4,999.00

Medical Knowledge RAG Assistant
₹4,999.00 ₹0.00
₹4,999.00
4999