Basketball IQ Builder (YouTube Film Analysis)

About

This project proposes an AI-powered film analysis tool designed to help coaches and players extract deeper insights from YouTube basketball footage. By processing full games, skills sessions, and drills, the system identifies key patterns including offensive sets, defensive schemes, and player movements and transforms them into quick, actionable coaching points and drill ideas.

Lead Mentor

Nwanacho Nwana

Author and researcher

Dates

Admissions Open till December 15, 2025

Group Presentation: March 5, 2026

Learn More

Deliverable:

Web app where coaches/players can:
• Input YouTube links and get instant breakdowns
• Search for specific concepts ('zone defense vs. dribble drive,' 'pick and roll coverage')
• Get drill recommendations with linked video examples
• Track which concepts have been studied/implemented
• Compare team tendencies to successful programs

Student Evaluation & Certification

Students will receive a letter of engagement upon completing the project, and mentors will evaluate their performance to issue an end-of-project recommendation letter where appropriate. Throughout the program, mentors will assess each student’s engagement during group sessions, the quality and timeliness of their assigned work, and their creativity in developing solutions to group tasks.

Patent and Copyrights

All intellectual property, copyrights, and potential patents arising from this project will be owned solely by the mentor. Distribution of any ownership rights, authorship credit, or derivative use permissions to participating group members will be at the mentor’s discretion and may be allocated based on class performance, contribution level, and the overall quality of engagement throughout the project.

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Nwanacho Nwana | Project Lead

Nwanacho Nwana is an educator, researcher, and writer who currently teaches mathematics at the District of Columbia International School (DCI). He is deeply passionate about leveraging data and AI to address educational challenges, particularly in public speaking anxiety and learning equity. As co-founder and Head of Product at Valfee, he has built an app-based platform that uses AI to help students and young entrepreneurs improve through mentorship, deliberate practice, and observational learning. He is a strong advocate for neurodivergent and underrepresented students and integrates his scholarly approach with social impact

Aditi Palit | Additional Supervisor

She is a fourth-year PhD candidate in Computer Science at IIT Tirupati, specialising in federated learning, privacy-preserving algorithms, and decentralised data processing. She has research experience with Adobe and Ericsson, focusing on diffusion models, synthetic data strategies, and federated learning optimisation.

User

First Meeting: December 5

Month 1: Basics of AI and visual computing recognition

Month 2: Project Start

Month3: Draft of project created

All resources required for this program will be provided by Kuhiro Class.

Selected students will be enrolled in a dedicated Google Classroom and added to the project’s Slack workspace, where all discussions, resources, and assignments will be organized.

The project will include weekly meetings to review progress, workshop ideas, and provide guidance, while ongoing dialogue and task submissions will be maintained through both Google Classroom and Slack.

Students are additionally required to post bi-monthly updates on their project progress to the Computer Science group on Chautara, ensuring consistent documentation, reflection, and community engagement throughout the duration of the program.

Join this project

Kindly use the form below to apply for this project. Students of any age with a background in Computer Science are eligible to apply.

Accepting candidates till December 20, 2025

Open access

There are currently no fees to join this course.

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कुहिरो भित्र स्कुल

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