I’m Hira Yıldırım, a 13 year old student from Türkiye who loves science, cosmology, and AI.
I’m developing Talya Al, an AI powered learning assistant that helps students study in a more personal and creative way.
Talya Al will track school curriculums, create daily study plans based on data, and make lessons interactive with animations. It will also include a virtual lab where students can do digital experiments and explore science in real time.
My dream is to make learning more human and inspiring through AI.
I’m excited to join this amazing MIT community and would love to hear any advice or ideas
– Hira Yıldırım
Türkiye | 13 | Creator of Talya Al
I’m currently in the design phase of the application and researching how to organize the code structure.
I can share the related information as a PDF file if you’d like. Talya_Al_Project_Hira_Yildirim.pdf (4.0 KB)
Talya Al Project
by Hira Yıldırım
Introduction
Around the world, millions of students struggle to keep up with their lessons,
stay focused, and find motivation. Every student learns differently, yet
schools often use one system for everyone. Talya Al is designed to change
this. It is an AI assistant that understands each student personally, follows
their school curriculum, and creates personalized, interactive learning
experiences using artificial intelligence and animation.
Problem
The traditional education system does not adapt to individual needs. Many
students fall behind when the lessons move too fast, while others lose
interest when the pace is too slow. There is also a lack of engagement and
interactivity that makes learning less effective.
Solution
Talya Al offers a personalized AI robot for every student. It researches the
school curriculum directly from the web, monitors daily lessons, and ensures
that each student is on track. The system uses scientific data to design a
daily program and includes interactive lessons that simulate live classroom
experiences. With AI-generated questions and animated responses, the
content becomes more engaging and memorable.
Vision
Talya Al’s vision is to make education more personal, intelligent, and
inspiring. Every student deserves a teacher that understands them ̶ and
Talya Al aims to be that teacher.
Actually made some progress in coding before, but I had to take a short break. I’m planning to rebuild some parts from scratch to make the structure cleaner and more efficient. It’s a bit challenging, but I see it as a fresh start I’ll be sharing updates as I move forward.
I am asking you because of your project a little bit hard and need something in advance. Each features you want to constract takes time and data!
Major Challenges and Problems
You will face three main problems attempting this project:
1. The AI Processing Limit
MIT App Inventor is a client-side tool—it builds the app that runs on the student's phone. It cannot perform the heavy computational tasks required for AI.
The Problem: The app cannot locally generate complex questions or animated responses. It must rely entirely on a commercial or custom external AI service (API), adding significant cost and complexity.
2. Back-End Infrastructure
The proposal requires a sophisticated back-end system to manage, process, and personalize the data.
The Problem: The app needs a server to:
Store and update school curriculum data.
Track the student's progress and daily program.
Communicate with the AI service.
MIT App Inventor does not provide this back-end; the student would need to set up and manage Firebase or a dedicated web server in addition to the app itself.
3. Cost and Time
Professional-grade AI functionality is expensive and time-consuming.
The Problem: Using commercial APIs (like those mentioned above) can incur charges based on usage (the number of questions, responses, etc.). Furthermore, developing the complex integration and animation logic for this project would take far longer than a typical student project timeline.
Recommendation: you should scale down the project for the MVP to focus on one core feature, such as a curriculum-based quiz generation tool using a free/low-cost AI API, while simulating the personalization and animation with simple, pre-programmed elements.