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InterAIct

-- An intelligent educational tool powered by AI

InterAIct is an AI-powered interactive learning app designed to help autistic children practice social skills in real-world social scenarios, using on-device intelligence for a responsive and immersive experience. This application simulates different social scenarios that children would meet in real life and guidance them on understanding social cues, handling interactions, and responding to real-life situations.

Table of Contents

  1. Features
  2. Preview
  3. Prerequisite
  4. Usage
  5. Team
  6. Acknowledgments
  7. License

Features

  • 🐶 Cute Companion Avatars
  • 😊 Real-time Emotion Recognition
  • 🛝 Real-World Scenarios
  • 🎶 AI Voice Guidance
  • 👏 Interactive Choices & Feedback
  • 📝 Emotion Report Genetation
  • 🛟 High Privacy & Security

Preview

AI Learning Screenshot AI Learning Screenshot AI Learning Screenshot

Prerequisite

Installation

Clone The Repository:

git clone [https://github.com/yourusername/InterAIct.git](https://github.com/woodsxwu/InterAIct.git)
cd src/interAIct

Create a Virtual Environment:

- Create:

  • For Windows:
python -m venv venv
  • For macOS/Linux:
python3 -m venv venv

- Activate:

  • For Windows:
venv\Scripts\activate
  • For macOS/Linux:
source venv/bin/activate

Install Dependencies:

pip install -r requirements.txt

Run:

streamlit run app.py

Usage

  1. Choose an avatar that the child like
  2. Choose the scenario for the child to practice with
  3. Make choices according to the questions
  4. Real-time emotion recognitions and feedback
  5. Get feedback after making choices
  6. Generate the report for this round of practice

Team

Bijing Tang
📧 Contact: tang.bij@northeastern.edu
Charanya Ramprasad
📧 Contact: charanya.ramprasad@gmail.com
Renlinhui Li
📧 Contact: li.renl@northeastern.edu
Zhixiao Wu
📧 Contact: wu.zhixia@northeastern.edu
Zihao Wang
📧 Contact: wang.zihao10@northeastern.edu

Acknowledgments

We would like to express our gratitude to Autism Speaks for providing valuable information that contributed to this project.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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