https://github.com/jocelynvelarde/eduvision

Use of computer vision to provide metrics of student focus inside the class, with the implementation of Generative AI to create personalized lesson plans or content for sessions.
https://github.com/jocelynvelarde/eduvision

computer-vision data-visualization education generative-ai openai opencv python

Last synced: about 2 months ago
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Use of computer vision to provide metrics of student focus inside the class, with the implementation of Generative AI to create personalized lesson plans or content for sessions.

• Host: GitHub
• URL: https://github.com/jocelynvelarde/eduvision
• Owner: JocelynVelarde
• License: mit
• Created: 2024-05-24T23:50:44.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-05-27T21:35:19.000Z (7 months ago)
• Last Synced: 2024-05-28T07:44:09.216Z (7 months ago)
• Topics: computer-vision, data-visualization, education, generative-ai, openai, opencv, python
• Language: Python
• Homepage: https://eduvision.study/
• Size: 25.1 MB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        

# EduVision: Power your teaching potential 📒

Created for LinceHacks 2024

## Authors

- [@JocelynVelarde](https://github.com/JocelynVelarde)

- [@Diego785xd](https://github.com/Diego785xd)

## Features

- Optimized API costs using gpt4-o

- Light and Dark mode enabled

- Available in all devices

### Classroom Attention

- Use of computer vision tools to monitor sentiment analysis and attention levels of students

- Fetch data on a dynamic dashboard to view different metrics

- Mantain privacy of students using only tags and not saving biometric data

- Generate reports and reccomendations in relation to the results from lessons

- Identify in which section of the class the students where most engaged, and what was the content being displayed

### Generate Content

- Use of generative artificial intelligence to create content for your lessons

- Direct conversation with an assistant to generate the desired content

- Text integration and audios to increase dynamic interaction

- Selection between creating a study plan or lesson content by filling a form

- Visualization of desired topics and pptx creation

## Structure

```bash

streamlit_app 

├─ home.py

├─ .streamlit

│   └─ secrets.toml

├─ algorithms

│  └─ embeedings.py

│  └─ mongodb_genai.py

│  └─ vectorization_mongo.py

├─ gpt4o

│  └─ image_process.py

│  └─ pptx_genai.py

│  └─ simple_text.py

├─ assets

│  └─ files

│  └─ images

├─ pages

│  └─ Chat.py

│  └─ instructions.py

│  └─ Panel.py

├─ utils

├─ AiManager.py

├─ DataManager.py

├─ index.html

├─ vision_main.py

└─ requirements.txt

```

## Tools

- OpenAI API

- Streamlit

- OpenCV

- MongoDB

- Threading

- Queue

- Deepface

- pandas

- numpy

Deployed with: Streamlit Cloud

## Demo

[YouTube](https://www.youtube.com/watch?v=ZPCu1XzHcSM)

## License

[MIT](https://choosealicense.com/licenses/mit/)