Wronganswers.ai

WrongAnswer.AI came from a personal frustration I faced as a student — I kept making similar mistakes, but no platform helped me understand why. Most tools focus on what you get right, but I wanted something that tracks what you get wrong and helps you improve from it. That’s how this idea was born: a tool that feels like an AI coach, noticing your errors, analyzing patterns, and showing where you actually need to focus. I built it using Python for the backend, Streamlit for the user interface, and Pandas to handle and analyze the mistake data. The app lets users input wrong answers, tag the type of mistake, and see visual patterns of their learning gaps. Along the way, I learned how powerful feedback-based learning can be — and how to simulate intelligent behavior using simple logic and clean UI. The biggest challenge was building something original and useful in such a short time, especially without using any large models or advanced tools. But that limitation made me more creative. I’m proud of how this project turned out, and I hope it helps students like me turn their mistakes into meaningful growth.

Built With

• cloud
• pandas
• python
• streamlit