ThinkSync

ThinkSync

Inspiration

Research on students with ADHD in a classroom setting.

What it does

Teachers struggle to objectively measure student engagement, making it difficult to optimize their teaching methods. ThinkSync solves this by using AI-driven computer vision and audio analysis to track student focus in real-time. Our platform provides personalized engagement metrics, helping educators identify what works best for their classroom. With actionable insights at their fingertips, teachers can make data-backed decisions to improve participation and learning outcomes. ThinkSync makes every lesson more effective—because engaged students learn better.

How we built it

UI is built on React, and backend on Python. We have used motion and face recognition computer vision models to categorize students and track the motion frequencies. We have also used Speech to text combined with an LLM to judge the overal confidence of the class