My project is an AI basketball shooting coach. It analyzes the frames of videos and photos to coach the user's shooting form. It is made for people that want to get better at basketball, but do not have the money or time to get professional coaching.

My project is an AI-powered baseball pitching analysis system that takes key points using computer vision and biomechanics to evaluate a player’s mechanics by tracking key points of the body—such as the shoulder, elbow, hips, and legs—through the kinetic chain, then compares those movements to optimal patterns taken from high-level players to identify inefficiencies, reduce stress on joints like the UCL and shoulder, and provide feedback that helps pitchers both prevent injury and improve performance. The user uploads a photo, video, or uses the built in webcam and instantly receives accurate feedback that will keep them healthy.

Analyzes biometric, blood, or performance data to flag anomalies.

AI identifies suspicious patterns that deviate from natural athlete progression.

Personalized AI-based meal planner that suggests recipes and diet plans tailored to nutrition goals and restrictions.

My project is about detecting and correcting yoga posture. Yoga is popular because it’s something that can be done easily at home with minimal requirements. The flip side of this, however, is that people can get injured. Because beginners don’t have live feedback, they can get hurt due to bad posture. Additionally, a trainer can be expensive and not everyone might be willing to pay for one. That’s why we created PosturePal.

Personalized AI-based meal planner that suggests recipes and diet plans tailored to nutrition goals and restrictions.

Evaluates in-game stats, movement, and efficiency per position. Helps coaches make tactical decisions using clustering and regression models.

Estimate win probabilities for upcoming matches. Logistic‑regression or tree‑based model on team stats and head‑to‑head history.

Identify athletes at higher risk of injury based on workload metrics. Classification using training/load data (simulated or open) to flag risk.

HomeRun AI is an intelligent sports analytics system that uses computer vision and machine learning to analyze a batter’s swing in real time. By tracking 33 body points and calculating joint angles from images, videos, or live webcam input, the platform predicts hit outcomes and provides actionable feedback. It helps coaches and players improve performance using fast, data-driven biomechanical insights.

My project is about detecting and correcting yoga posture. Yoga is popular because it’s something that can be done easily at home with minimal requirements. The flip side of this, however, is that people can get injured. Because beginners don’t have live feedback, they can get hurt due to bad posture. Additionally, a trainer can be expensive and not everyone might be willing to pay for one. That’s why we created PosturePal.

Personalize workout plans based on user goals and history. Recommends drills/exercises by matching user profiles to past successful plans.

My project is about detecting and correcting yoga posture. Yoga is popular because it’s something that can be done easily at home with minimal requirements. The flip side of this, however, is that people can get injured. Because beginners don’t have live feedback, they can get hurt due to bad posture. Additionally, a trainer can be expensive and not everyone might be willing to pay for one. That’s why we created PosturePal.

Personalized AI-based meal planner that suggests recipes and diet plans tailored to nutrition goals and restrictions.