Code & Development · GitHub ·5 ★

Stemly

Stemly is an AI-powered STEM learning platform that transforms scanned diagrams into interactive physics simulations and comprehensive study notes. Built with Flutter CustomPainter for real-time rendering, FastAPI backend, LangChain orchestration, Google Gemini AI, MongoDB database, and Firebase aut

Details

Author
SH-Nihil-Mukkesh-25
Category
Code & Development
Platform
GitHub
Framework
langchain
Language
dart
Stars
5
First indexed
2026-05-15
Last active
2026-02-21
Directory sync
2026-05-15

Overview

Stemly is an AI-powered STEM learning platform that transforms scanned diagrams into interactive physics simulations and comprehensive study notes. Built with Flutter CustomPainter for real-time rendering, FastAPI backend, LangChain orchestration, Google Gemini AI, MongoDB database, and Firebase aut

Quick start

git

git clone https://github.com/SH-Nihil-Mukkesh-25/Stemly

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Stemly can do

  • Education — Tutors learners through structured explanations.
  • Api — api task automation.
  • Data — Reads, transforms, and analyses structured data.

Frequently asked questions

What is Stemly?
Stemly is an AI-powered STEM learning platform that transforms scanned diagrams into interactive physics simulations and comprehensive study notes. Built with Flutter CustomPainter for real-time rendering, FastAPI backend, LangChain orchestration, Google Gemini AI, MongoDB database, and Firebase aut
How do I install Stemly?
Use git: `git clone https://github.com/SH-Nihil-Mukkesh-25/Stemly`. Full setup details on the source page linked above.
Is Stemly open source?
Stemly is published on GitHub.
What are alternatives to Stemly?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for Stemly is sourced from GitHub, published by SH-Nihil-Mukkesh-25.

Last scraped: · First indexed:

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