Perfect StudyMate

A Learning Chatbot Powered by RAG Technology

Meet your own AI Studymate!
Upload your documents, and a more accurate and secure personalized chatbot is born

Table of Contents

Project Overview
Architecture
Demo Video
My Contributions
Course Repository
Team Members
Project Duration

Project Overview

Chatbots often confuse users by producing false responses. This is also a reason why users are reluctant to use chatbots for learning. So we propose a RAG-based chatbot service named "Perfect StudyMate" that allows students to experience fewer hallucinations.

The user uploads the '.pdf' formatted resources used in courses to the chatroom, and the model embeds the uploaded data and stores it in a database.

Then, when the user asks chatbot a question related to the data, the model extracts the context related to the question from the embedding database and reflects it in the answer.

At the same time, an interactive conversation is implemented by utilizing the history of conversation between the user and the chatbot.

Users can enjoy an improved learning experience by talking to chatbots with less hallucination based on the content of the course material they want.

Architecture

Demo Video

Demo Video

My Contributions

Role: Backend Development

Backend Architecture Design
Database Design
REST API
- API Documentation (Swagger UI)
- User
  - Signup
  - Get user info
- Authentication & Authorization
  - Login
  - Jwt authentication
- Chatting Session
  - Create session
  - Read session
  - Update session
  - Delete session
- Message
  - Send back response from RAG
  - Delete message
  - Delete messages
- File Management
  - Upload files
  - Read files
  - Delete files

Tech Stack

Backend: Python, FastAPI, MySQL, JWT, Redis

Tools: Swagger, Github, Lucidchart

Course Repository

https://github.com/SecAI-Lab/SWE3028-Fall-2024/tree/main/Team%20K

Team Members

Member 1: Juyong Rhee (Team leader)
Member 2: Yewon Chun
Member 3: Jihee Hwang
Member 4: Jorge Alcorta

Project Duration

Start Date: 2024-09-02
End Date: 2024-12-13

wndyd0131/2024-Capstone-Design-Project

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