Inspiration
The frustration of digital fragmentation and the desire for a unified, voice-first study sanctuary.
What it does
StudyBuddy is a multimodal, voice-first learning companion designed to help students overcome study fatigue, stay focused, and retain information efficiently. By bridging smart voice agents (Alexa+) and modern web interfaces through the Model Context Protocol (MCP), StudyBuddy turns study sessions into an interactive, hands-free dialogue.
How we built it
The architecture bridging Flask, the Model Context Protocol (MCP) server, SQLite/DynamoDB persistence, and Google Gemini / Bedrock AI.
Challenges we ran into
Overcoming text-to-speech engine pronunciation of raw markdown symbols and handling token limits for complex STEM queries.
Accomplishments that we're proud of
we achieve to make integrate with AWS Cloud Architecture through template.yaml and Lambda handler studybuddy_lambda.py for automated cloud deployment.
What we learned
The immense power of standardized agent protocols like MCP for connecting autonomous voice agents to specialized backend tools.
What's next for StudyBuddy
AI-Powered Flashcards & Deck Selector Smart Study Timer & Session Tracking Real AI Study Tutor (STEM & Academic Q&A)
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