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https://github.com/arya-io/ai-feedback-system
A Streamlit app that quizzes beginners on AI concepts and provides personalized feedback. Powered by the ChatGroq LLM, it evaluates user responses and offers constructive guidance to help improve AI knowledge.
https://github.com/arya-io/ai-feedback-system
ai artificialintelligence chatgroq langchain machinelearning python streamlit
Last synced: 11 days ago
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A Streamlit app that quizzes beginners on AI concepts and provides personalized feedback. Powered by the ChatGroq LLM, it evaluates user responses and offers constructive guidance to help improve AI knowledge.
- Host: GitHub
- URL: https://github.com/arya-io/ai-feedback-system
- Owner: arya-io
- License: mit
- Created: 2024-11-25T14:11:12.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-11-25T14:27:36.000Z (about 1 month ago)
- Last Synced: 2024-12-22T15:17:06.125Z (11 days ago)
- Topics: ai, artificialintelligence, chatgroq, langchain, machinelearning, python, streamlit
- Language: Python
- Homepage: https://ai-feedback-system.streamlit.app/
- Size: 13.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# AI Feedback System
## Overview
The **AI Feedback System** is a web application that interacts with users to help them learn basic concepts about Artificial Intelligence (AI). The system generates beginner-level questions and provides feedback on user answers. The feedback includes a score and suggestions for improvement, acting as an AI mentor to guide learners through fundamental AI concepts.
## Features
- **AI Question Generation**: Asks a basic, beginner-friendly AI question.
- **Answer Submission**: Users can input their response to the question.
- **Feedback and Scoring**: Provides constructive feedback based on the user's response, including a score and guidance for improvement.
## Tech Stack
- **Streamlit**: Used for building the web application interface.
- **LangChain**: Used for managing AI prompts and templates.
- **ChatGroq**: The language model used to generate questions and provide feedback.
## How It Works
1. **Question Generation**: The app generates an AI-related question at a beginner level using a prompt-based system. The question is displayed to the user when they press the "Ask me a question" button.
2. **Answer Submission**: Users can submit their answer via a text input field.
3. **Feedback**: After submitting an answer, the AI mentor reviews the response and provides a score along with feedback. The feedback highlights correct parts and areas where improvement is needed.
## Usage
### Requirements
- Python 3.x
- Streamlit
- LangChain
- ChatGroq API key (required for using the language model)
### Installation
1. Clone this repository:
```bash
git clone https://github.com/arya-io/ai-feedback-system.git
2. Navigate to the project directory:
```bash
cd ai-feedback-system
3. Install dependencies:
```bash
pip install streamlit langchain_groq
4. Set your Groq API key:
### Running the App
Run the application using Streamlit:
```bash
streamlit run app.py
```
This will open the app in your default web browser.
### Example Workflow
1. Press the "Ask me a question" button to generate a beginner-level AI question.
2. Enter your answer in the provided text field.
3. Press "Submit answer" to receive a score and detailed feedback on your answer.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.