DataCoach

Film with your phone basketball , get AI data via our Snapchat app! Use the app for free , use our website to get data visualization to optimize for winning!

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DataCoach: Revolutionizing Sports Analytics Inspiration In the world of sports, understanding player positioning and performance is crucial for coaching and strategy. As two passionate individuals, Rene Turcios and RJ, we recognized the need for an accessible and intelligent solution to this challenge. We were inspired by the desire to bring AI-driven insights to every coach, player, and sports enthusiast, regardless of their budget. This inspiration led to the birth of DataCoach.

What Is DataCoach? DataCoach is not just a tool; it's a revolution in sports analytics. We created a free Snapchat filter that takes video from your phone, recognizes players on the field, and converts this visual information into AI-tracked data. But we didn't stop there. We extended our vision to a website that allows users to upload their videos with the attached data. The platform then analyzes this data to provide insights, such as the percentage chance of winning for each team, based on player positioning.

How We Built It

  1. AI Integration: Utilizing cutting-edge machine learning frameworks, we trained a model to recognize and track players on the field. This was the core of our Snapchat filter, enabling real-time player tracking.

  2. Data Analysis Engine: We developed an analytical engine on our website that takes the tracked data and applies sophisticated algorithms to coach the data. This involved rigorous data preprocessing, feature extraction, and statistical modeling.

  3. User-Friendly Interface: Understanding that our users might vary in technical expertise, we designed a seamless interface for both the Snapchat filter and the website. It's a tool for everyone.

Challenges We Faced Data Quality: Ensuring that our AI model could accurately track players from various video qualities was a significant challenge. We had to curate a diverse dataset and fine-tune our model.

Real-Time Processing: Creating a Snapchat filter that worked in real time required optimization at every step. From model inference to data transmission, we had to ensure efficiency.

Interpreting Results: Making the analytical insights understandable and actionable for users required thoughtful design and explanation.

What We Learned DataCoach taught us more than just technical skills. We learned about collaboration, creativity, and the real-world impact of AI. We understood the power of making technology accessible and how it can transform an entire field like sports analytics.

Conclusion DataCoach is a testament to what passion and innovation can achieve. By democratizing sports analytics through a simple Snapchat filter and an intelligent website, Rene and RJ have created a tool that empowers coaches, players, and enthusiasts alike. The future of sports is here, and it's powered by DataCoach.

Built With

  • bubble.io
  • chatgpt
  • lens
  • yolo
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