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harshi-puli/README.md

Hi! I'm Harshini ✧₊⁺

🎓 Data Science @ UC Berkeley (planning to double in Linguistics)
💡 Interested in Data, ML & AI, language, and the intersection of art + technology

3f75802ff99759f5b6b3606a60a2bb61-removebg-preview GitHub Stats

GitHub Streak

🚧 What I'm Working On

  • 🌻 VillageHub
    Full-stack app supporting residents of Tiny Village Spirit

  • 💃 NatyaNet
    Classical dance classification system using ML

  • 🐦‍⬛ MagPie
    Obsidian plugin that converts URLs into structured note networks

  • 🧡 Berkeley Lost & Found
    Web-scraping tool for aggregating lost items from r/berkeley

💡 Technical Interests

  • ML in the arts (especially music 🎶) + environmental science
  • Natural Language Processing (NLP)
  • Computer Vision (OpenCV) for creative applications

🛠️ Tech Stack

Languages & Tools

Python Java SQL TypeScript Git React Node.js Flask

Data Science & ML

Pandas NumPy scikit-learn PyTorch XGBoost

Databases

Firebase MongoDB SQLite

📌 Extras

Visitor Count

Activity Graph

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  1. MagPie MagPie Public

    MagPie is an AI-powered knowledge curator that crawls any website, summarizes it with Claude, and saves it as a searchable note directly into your Obsidian vault.

    JavaScript 1

  2. VillageHub VillageHub Public

    A centralized app for all residents and admin of Tiny Village Spirit's tiny home communities. It's purpose is to manage all community amenities and communication.

    TypeScript 2

  3. NatyaNet NatyaNet Public

    A classifier that can classify images of indian dancers into their specific styles. Because the dataset I used only had these, I mainly focused on the following: kuchipudi, manipuri, bharthanatyam,…

    Python 1

  4. AllocAI AllocAI Public

    An automated task allocation service that takes datasets of agent profiles, task, and performance history and assigns tasks according to a scoring system.

    Python

  5. CarbonLens12 CarbonLens12 Public

    Python 1

  6. berk-lost-found berk-lost-found Public

    Tries to create a centralized place for all lost and found items around UC Berkeley

    HTML 1