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Typing

🌟 Inspiration

The digital divide is real, and we've seen its impact firsthand in our diverse community. Many students struggle with technology, putting them at a disadvantage in their education. We wanted to create a tool that makes learning accessible, helping ESL students not just type, but type with confidence.

🛠️ What it does

TypingUpTomorrow is an AI-powered typing tool designed for ESL students. Using age and grade level as inputs, our system generates personalized typing prompts that align with real-world learning standards. The interface prioritizes accessibility with features like high-contrast visuals and a strikethrough function for mistakes.

Through analytics, the system identifies common errors and adapts future prompts to reinforce challenging letters. After three completed exercises, users receive detailed insights on their words per minute and their most inconsistent keystrokes, empowering them to track and improve their skills.

🏗️ How we built it

Our system follows a structured pipeline:

User Input (age/grade) → GeminiAPI → Adaptive Prompt Generation → Personalized Difficulty Scaling

We used GeminiAPI to generate tailored prompts based on the user’s grade level, ensuring that exercises progress in complexity alongside the learner’s skills.

⚔️ Challenges we ran into

Connecting the backend with the frontend for seamless communication
Handling HTTP requests efficiently

🎖️ Our Accomplishments

We successfully implemented features and technologies that were entirely new to us, broadening our development skills along the way.

📚 What we learned

How to build with React and Flask, both of which were new to us
Effective team collaboration using a shared GitHub repository
How to divide work into smaller, focused teams to streamline development

🚀 What’s next for TypingUpTomorrow

Expanding support for multiple languages
Adding audio feedback for visually impaired users
Enhancing the prompt generator to create more personalized and challenging exercises