I will develop educational ai software and interactive learning apps with langgraph


Über diesen Service
Are you looking to build educational AI software that students actually want to use?
Most EdTech AI is just a boring chatbot wrapped in a dull interface. I build vibrant, highly interactive educational applications that prioritize Intuition First.
Using a robust LangGraph and Python backend, I create intelligent AI tutors capable of multi-step reasoning, dynamic problem generation, and tailored feedback. I then bridge that powerful logic with a colorful, engaging web interface using the MERN stack, Next.js, PixiJS, and GSAP.
My Development Philosophy:
- Gameplay Before Symbols: I design interactive applications where users discover mathematical or logical rules by interacting with cases, rather than just staring at static equations.
- Vibrant & Engaging: I build colorful, gradient-rich visual themes that feel joyful and inviting. I strictly reject dreary "neon black" tech aesthetics.
- Stress-Free Learning: I absolutely do not use countdown timers in my apps. Learning should be about exploration and building confidence, not rushing against a clock.
Whether you need a custom AI tutor aligned with specific standards or an interactive logic game, let's build it. Message me!
Lerne Ashkam kennen
Hack Your Brain, Build Your Future, Find Your Flow
- AusIndien
- Mitglied seitMärz 2020
- ⌀ Antwortzeit1 Stunde
Sprachen
Englisch
Mein Portfolio
FAQ
Question 1: Can you align the AI to specific curriculums or testing standards?
Answer: Absolutely. The LangGraph backend can be integrated with specific curriculum guidelines (like the British National Curriculum or state-specific standards), ensuring the AI generates practice questions and feedback that meet precise academic goals.
Question 2: Will the educational games include timers or score countdowns?
Answer: No. I have a strict design philosophy against using timers in educational apps. I build environments focused on intuition, exploration, and stress-free learning so students can process information at their own pace.
Question 3: Can the app handle complex equations and formulas?
Answer: Yes. I ensure the front-end interface is explicitly configured to properly format and render all mathematical and scientific notation cleanly, so students aren't confused by bad layout or broken symbols.
Question 4: What technology stack do you use?
Answer: I use Python and LangGraph for the complex AI agent reasoning. For the interactive front-end and backend, I use the MERN stack (MongoDB, Express, React, Node.js), Next.js, and animation libraries like GSAP and PixiJS for rich interactivity.

