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Presented a deep learning research paper at the 2024 IEEE MIT Undergraduate Research Tech Conference
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Built a computer vision pipeline to analyze basketball shot trajectories using OpenCV & TensorFlow
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Developed 2 novel curve-fitting mechanisms to extract release angle and shot trajectory
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Created a hyper-personalized feedback system to optimize basketball shooting angles
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Published and presented paper at the 2024 IEEE MIT Undergraduate Research Technology Conference (Technology of Engineering).
Link to Conference Presentation
Link to Research Paper: Vasisht_Basketball_Detection_for_Angle_Correction-1.pdf
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Developed a SwiftUI-based mobile app that sends intelligent reminders to help students manage assignments and test prep
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Personalized push notifications based on student workload and deadlines corresponding to school’s bell schedule
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Sponsored by the school’s AP Comp Sci A teacher and the Fremont Union High School District’s Technology Coordinator for integration in the Fremont school district
- Built 6 Python pipelines for regression/classification ML models to uncover insights from large datasets
- Applied core ML libraries and techniques, including Sci-kit, Pytorch, natural language processing, and cross-validation for weekly case studies
- Developed an ensemble ML model to predict domestic box-office success for production companies as capstone project

