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anushka24agarwal/README.md

Hi, I'm Anushka Agarwal! πŸ‘‹

πŸŽ“ MS CS Student @ Columbia University
🌱 Experience across startups, research and industry drives me towards the intersection of software engineering and AI.

πŸš€ About Me

  • Currently:
    Graduate Student (MS in Computer Science), Columbia University

  • Research & Engineering Experience:

  • Interests:
    ML & AI | Neural Networks | Computer Vision | Backend Systems | LLMS

πŸ› οΈ Top Skills

  • Programming: Python, C/C++, Java, SQL, MATLAB, React.js
  • ML Libraries: PyTorch, TensorFlow, Keras, Sci-kit Learn, OpenCV
  • Backend: Flask, FastAPI, REST, Django, PostgreSQL, StreamLIT
  • Cloud: Docker, Kubernetes, AWS, GCP
  • Interests: Computer Vision, Neural Networks, Deep Learning, Cloud Computing, LLMs

🌟 Featured Projects

🌐 Connect with Me

LinkedIn Website

Always eager to learn, collaborate and build impactful tech!

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  1. AI_Fitness_Agent AI_Fitness_Agent Public

    A GenAI-powered app that uses multi-agent architecture and open-source LLMs (Mistral via Ollama) to generate fully personalized diet and workout plans. Built with Python and Streamlit, it supports …

    Python

  2. URL_Shortener URL_Shortener Public

    A full-stack URL shortening service built with FastAPI (backend), React (frontend) and PostgreSQL for storage. Fully containerized using Docker and Docker Compose.

    Python

  3. Driver_Behaviour_Detection Driver_Behaviour_Detection Public

    Developed a driver behavior classification system using a customized DenseNet121 architecture. Achieved 98.42% test accuracy across six behavior categories through TensorFlow-based model training a…

    Jupyter Notebook

  4. ServicePlatform ServicePlatform Public

    Forked from mihikasanghvi/w4111-proj1

    This project is a web-based service booking platform that allows users to book various services like plumbing, painting, and more. Users can sign up, log in, view available services, and make booki…

    HTML

  5. Emotion-Recognition Emotion-Recognition Public

    This repository contains an emotion recognition system developed on 2,300+ WAV files using acoustic feature extraction and machine learning techniques.

    Jupyter Notebook

  6. ExpenseTracker ExpenseTracker Public

    A simple and intuitive expense tracking application built with React (Typescript), Apollo GraphQL and MongoDB (Docker).

    TypeScript