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A complete AI Agent system for real use cases. RAG, NL2SQL, API actions, multi-agent logic — everything in one place.
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Nandish Shah
PolyTutor: Multi-Agent Learning for STEM & Language Mastery
Individual
May 30, 2025 at 05:30 AM
FastAPI backend Server Agno Framework (multi-agent orchestration) LanceDB + Embedder (for vector search) youtube_transcript_api & pytube (language learning) DuckDuckGo Search (external fact retrieval) ReasoningTools (agent reasoning support) Custom UI built in React + Tailwind
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Nandish Shah
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Project Title
PolyTutor: Multi-Agent Learning for STEM & Language Mastery
Describe what your project does?
PolyTutor is an AI-powered, domain-specific educational platform that uses specialized agent teams to guide learners through subjects like Physics, Chemistry, Math (PCM), and Language Learning. It addresses the lack of personalized, interactive, and multimodal learning experiences in education, especially for complex STEM topics and language acquisition.
Project Goal To demonstrate a modular, multi-agent tutoring system that offers personalized, engaging, and multimodal education for learners at various levels—bridging conceptual clarity, practical problem-solving, and cultural language immersion.
How It Works
User selects a subject (Physics, Chemistry, Math, or Language). System activates relevant agents (e.g., Concept Agent, Visual Agent, Grammar Coach, etc). User engages with interactive modules: Asks questions, solves problems, or explores visual explanations. Core Functionality
Concept Agent: Offers deep explanations and critical thinking support. Problem Agent: Guides users step-by-step through practice problems. Visual Agent: Generates diagrams and visual aids for clearer understanding. Search Tool: Uses vector search over NCERT and other PDF materials. Language Agents: Includes Grammar Coach, Vocabulary Builder, Dialogue Partner, and Culture Expert. Domain Validator Agent: Validates Input belongs to right subject.
What AI tools did you use?
FastAPI backend Server Agno Framework (multi-agent orchestration) LanceDB + Embedder (for vector search) youtube_transcript_api & pytube (language learning) DuckDuckGo Search (external fact retrieval) ReasoningTools (agent reasoning support) Custom UI built in React + Tailwind
Share a 3–5 minute demo video (Google Drive link only) explaining your core idea, tools used, challenges faced, and how you improved your solution — make sure the link is viewable.
Is this project your original and proprietary work?
Yes
Does it include any private, sensitive, or restricted code or content?
No
Do you give us (AI Demos) permission to feature your work on our website and share it with our community (with full credit)?
Yes
Do you consent to us showcasing your name/profile on our social media platforms and YouTube
Yes
Connect with Nandish Shah to learn more about their project.