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shrishtiroy/README.md

Hi, I'm Shrishti

I'm a Computer Science student at the University of Pennsylvania interested in exploring AI in sports, education, and fairness.

  • Passionate about optimizing systems in sports analytics
  • Interested in building smarter educational tools
  • Focused on reducing bias in language models using state-of-the-art AI techniques
  • My hobbies include soccer, basektball, running, and cooking!
  • Open to internship and part-time opportunities
  • Reach me at: shroy@seas.upenn.edu

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  1. cua-finetune cua-finetune Public

    Fine-tune small open-source VLMs on CUA trajectories from Supabase + Dillinger + trajectories.sh, then eval browser-in-the-loop.

    Python

  2. shrishtis-cookbook shrishtis-cookbook Public

    Add Salt. — Shrishti's kitchen notebook

    JavaScript

  3. Quarter-Sense Quarter-Sense Public

    Finetuned T5 Gemma Small to summarize NBA quarters commentary style given NBA plays.

    Jupyter Notebook

  4. Dewey Dewey Public

    Dewey is a social book discovery platform that lets users rank their top books to recommend new reads, follow other readers, share reviews, and browse a tailored activity feed.

    TypeScript

  5. NBA-Fatigue-Predictor NBA-Fatigue-Predictor Public

    This project quantifies the fatigue of a player in the NBA, factoring features like how many fouls they had in the previous game, how many minutes they played, how far they traveled for an away gam…

    Jupyter Notebook

  6. twitch_gnn twitch_gnn Public

    GNN recommendation system for Twitch streamers based off views, mutual followers, and time spent live

    Python