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GitHub-RepositorySH-Nihil-Mukkesh-25/Stemly

Stemly

Stemly ist eine künstlich-intelligenten STEM-Lernplattform, die gescannte Diagramme in interaktive Physik-Simulationen und umfassende Lernnotizen umwandelt. Erstellt mit Flutter CustomPainter für Echtzeit-Rendering, FastAPI-Backend, LangChain-Orchestrierung, Google Gemini AI, MongoDB-Datenbank und Firebase-Authentifizierung mit Google-Anmeldung.

Projektcover von Stemly
Sterne
7
Forks
3
Letzter Push (UTC)
21.02.2026
Projektstatus
Aktiv

Original-README

Englischer Projektschnappschuss. Aktuelle Inhalte auf GitHub.

Stemly

Scan. Analyze. Visualize. Study.

An AI-powered STEM learning platform that transforms diagrams and problems into interactive simulations, study notes, and smart quizzes.

Flutter CI Backend CI License: MIT Contributors Last Commit

Flutter 3.x Python 3.10+ FastAPI Gemini AI Firebase MongoDB


The Problem

Students struggle to visualize abstract STEM concepts from textbooks and static diagrams. Traditional tools offer either theory OR visuals, rarely both in an interactive, personalized way.

Our Solution

Scan any physics problem with your phone, and Stemly instantly generates:

  • AI Visualiser — Real-time, parameter-driven physics simulations with interactive sliders
  • AI Notes — Comprehensive study notes with formulas, examples, and resources
  • Smart Quizzes — Auto-generated MCQs to test understanding immediately
  • AI Tutor — Chat with Gemini, GPT-4o, Grok, or Llama 3 for personalized help

Demo

Welcome Scan & Loading Main Interface
Welcome Scanning Home
AI Visualiser AI Notes Settings
Visualiser Notes Settings

Features

AI Visualiser — Not Just a Video

A real-time physics engine with:

  • Interactive control via sliders (velocity, angle, gravity, resistance)
  • Natural language control — ask "What if gravity was 0?" and watch it update
  • Live graphs (velocity-time, position-time, acceleration-time)
  • 9+ simulations: Projectile Motion, SHM, Optics, Kinematics, Free Fall, and more
AI Notes — Study Smarter

Generated specifically for each scanned problem:

  • Concept breakdowns with simple explanations
  • Key formulas with physical meanings
  • Step-by-step worked examples
  • Curated resources from across the web
Smart Quizzes
  • Instantly generated from your scanned content
  • Multiple-choice with detailed explanations
  • Score tracking and feedback
Multi-Provider AI Tutor

Choose your preferred AI model:

  • Google Gemini (default)
  • xAI Grok
  • OpenAI GPT-4o
  • Groq Llama 3

Architecture

graph TD
    User[Flutter App] -->|REST API| API[FastAPI Backend]
    API -->|Auth| Firebase[Firebase Auth]
    API -->|Data| DB[(MongoDB)]
    API -->|Vision + Text| Gemini[Google Gemini 2.5 Flash]

    subgraph Client
        User
        OCR[Google ML Kit OCR]
        VIS[Physics Engine]
    end

    subgraph AI
        Gemini
    end
Layer Technology
Frontend Flutter 3.x, Dart, Provider, CustomPaint (60 FPS rendering)
Backend FastAPI, Python 3.10+, Uvicorn, Pydantic
AI Google Gemini 2.5 Flash (vision + text + JSON mode)
Database MongoDB Atlas (async via Motor)
Auth Firebase Authentication (Google Sign-In, email/password)
Deployment Vercel (backend), APK/IPA (frontend)

See ARCHITECTURE.md for detailed component diagrams, data flows, and the scan-to-simulation pipeline.


Quick Start

Prerequisites
  • Flutter 3.x+ and Dart SDK 3.10.1+
  • Python 3.10+
  • API keys: Google Gemini + Firebase + MongoDB Atlas
Setup
git clone https://github.com/SH-Nihil-Mukkesh-25/Stemly.git
cd Stemly

# Backend
cd backend
python -m venv .venv && source .venv/bin/activate  # Windows: .venv\Scripts\activate
pip install -r requirements.txt
cp .env.example .env   # Fill in your API keys
uvicorn main:app --reload

# Flutter (in a new terminal)
cd stemly_app
flutter pub get
flutter run

For detailed instructions (platform-specific, Docker, etc.), see the Setup Guide.


Documentation

Document Description
Architecture System design, component diagrams, data flows
API Reference Complete REST API documentation with examples
Setup Guide Getting API keys, platform setup, Docker
Development Guide Git workflow, testing, debugging, adding simulations
Contributing How to contribute, code style, PR process
FAQ Common questions answered
Roadmap Where Stemly is headed

Roadmap

See docs/ROADMAP.md for the full roadmap.

  • Next: Wave simulations, circuit builder, chemistry support, offline mode
  • Later: Web deployment, multi-language support, classroom mode, AR features
  • Vote: React on issues to prioritize features

Contributing

We welcome contributions from everyone — especially students and first-time open-source contributors!

  1. Read the Contributing Guide
  2. Look for good first issue labels
  3. Set up your environment with the Setup Guide
  4. Pick an issue and submit a PR

Team

Stemly was built by Team Mugiwara Coders — CS students from Amrita Vishwa Vidyapeetham, Coimbatore.

Name Role GitHub
P Dakshin Raj Frontend & Flutter Lead @Dakshin10
SH Nihil Mukkesh Backend & AI Lead @SH-Nihil-Mukkesh-25
SHRE RAAM P J Content & Ideation @SHRE-RAAM-P-J
Vibin Ragav S Testing @VibinR-code
Contributors


Community

  • Questions? Open a discussion or ask an issue
  • Found a bug? Report it
  • Have an idea? Request a feature
  • Security issue? See SECURITY.md

License

Stemly is open-source under the MIT License.

Transforming STEM education, one scan at a time.

Star this repo if you find it useful!
SH Nihil Mukkesh GitHub avatar
GitHub-Autor

SH Nihil Mukkesh ↗

Tech Enthusiast ⚡

Amrita Vishwa VidyapeethamIndia
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