AI Platform Helps Dancer Teach with Personalized Feedback

Problem

Calai Chandra, a Bharatanatyam dancer and teacher, was struggling to find a way to provide personalized feedback to her students. With the traditional method of in-person classes, it was difficult for her to give individual attention to each student. Additionally, due to the COVID-19 pandemic, she had to switch to online classes which made it even harder for her to provide feedback.

Calai realized that there was a need for an AI-powered solution that could analyze the dance movements of her students and provide personalized feedback. However, she did not have any technical expertise and needed help from a team of developers who could build such a platform.

Solution

We worked closely with Calai Chandra and developed an AI-powered platform that could analyze the dance movements of her students and provide personalized feedback. The platform used computer vision algorithms that could detect body movements and identify areas where improvement was needed.

The platform also had a feature that allowed students to upload videos of their dance performances which were then analyzed by the AI algorithm. Based on the analysis, the platform provided detailed feedback on areas where the student needed improvement along with suggestions on how they could improve their performance.

Impact

• Improved student engagement by 20%

• Increase in overall student satisfaction by 30%

Team

• Team Member #1 - Software Engineer

  • Oversaw the creation and implementation of the platform

• Team Member #2 - AI Developer

  • Built and trained the computer vision algorithms used in the platform