AI Study Buddy

Note: This is currently a prototype, and platform development is in progress. Features and content may change as the project evolves.
Prototype Link: https://ai-studybuddy.streamlit.app

Overview

AI Study Buddy is a web-based learning platform that empowers students to develop AI literacy and use AI responsibly in their learning process. By combining foundational AI knowledge with guided reflection on personal usage habits, the platform helps students harness AI’s benefits strategically while supporting cognitive growth and fostering independent learning skills.

The platform is grounded in:

• Motivation Theories
• AI Literacy Framework (Long & Magerko, 2020)
• Piaget’s Cognitive Constructivism

Together, these theoretical foundations support students in balancing AI’s benefits with their own cognitive development.

Reference: Long, D., & Magerko, B. (2020). What is AI literacy? competencies and design considerations. In Proceedings of the 2020 CHI conference on human factors in computing systems. https://doi.org/10.1145/3313831.3376727

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Features

• 📖 AI Literacy Modules – Learn essential AI concepts and responsible usage strategies.
• ✍️ AI Usage Reflection – Reflect on your personal AI usage and receive personalized feedback.
• 🎯 AI Challenges & Activities – Engage in practical exercises to strengthen AI literacy.
• 💬 AI Community Forum – Share insights, ask questions, and learn from peers.
• ⚡ Dynamic AI Support – Integrates Google Gemini 1.5 Flash API to generate AI usage assessment questions and personalized advice.

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Tech Stack

• Python
• Streamlit – for building a clean and interactive web interface
• Google Gemini 1.5 Flash API – for dynamic question generation & personalized recommendations

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Installation & Setup

1. Clone this repository:

   git clone https://github.com/jessiex115/AI-Study-Buddy.git
   cd AI-Study-Buddy

2. Create and activate a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the app:

   streamlit run Home.py

5. Open your browser and go to the local URL provided by Streamlit (usually http://localhost:8501).

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Developed by Jiaxin (Jessie) Xu

Email: jessie02115@gmail.com