WrongAnswer.AI helps students learn smarter by tracking mistakes, spotting patterns in their errors, and turning failures into improvement — just like an AI model learning from its own feedback
WrongAnswer.AI came from a frustration I had as a student — I often repeated the same types of mistakes, but nothing helped me track or learn from them. This project flips the traditional method of learning. Instead of focusing on correct answers, users log wrong answers, explain why they got them wrong, and get visual insights into recurring mistakes. It’s like a personalized AI tutor that helps you grow by showing what you need to improve. I built this using Python, Streamlit for the interface, and Pandas for analyzing input data. The hardest part was keeping it simple yet powerful without using big AI models. This is a student-first solution designed to turn every failure into a step forward.
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