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Nandish Shah

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PolyTutor: Multi-Agent Learning for STEM & Language Mastery

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May 30, 2025 at 05:30 AM

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Technology Stack

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

Submission Details

hear-about-us: LinkedIn

name: Nandish Shah

linkedIn-profile: https://www.linkedin.com/in/nandishdev/

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‚Äîbridging 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.: https://www.linkedin.com/posts/activity-7331703163181264898-KokF?utm_source=share&utm_medium=member_desktop&rcm=ACoAACYiEAsBaH3AQX_sIUUIUjHkk0jjYKdqktI

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

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