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SHREENITHI-TV/README.md

Hi 👋 I'm Shreenithi

🎓 Computer Science Graduate | 💻 Software & ML Engineer
🚀 Building real-world projects across Backend, Machine Learning, NLP, Computer Vision, and Search Systems

🔥 What I Work On

I enjoy designing and building systems that combine data, intelligence, and usability - from full-stack web applications to machine-learning models and search engines.

My work spans:

  • 🧠 Machine Learning & Deep Learning
  • 🔎 Information Retrieval & NLP
  • 🖥 Backend & Database-driven Applications
  • 📱 Desktop & Mobile Applications
  • 📊 Data-driven system design

🛠 Tech Stack

💻 Programming & Core

Python · Java · PHP · SQL

🤖 Machine Learning & AI

Scikit-learn · TensorFlow / Keras · CNNs (DenseNet)
Transformers · NLP · Computer Vision

🔎 NLP & Search

Sentiment Analysis · Text Classification
BM25 · Semantic Retrieval · Hybrid Search Engines

🌐 Backend & Databases

MySQL · PHP-MySQL

🖥 Applications & Tools

Java Swing · Android Studio · Apache NetBeans
Jupyter Notebook · Google Colab

📊 What I Care About

  • Writing clean, maintainable code
  • Building end-to-end systems
  • Solving real-world problems
  • Understanding the why, not just the how

🌱 Currently Exploring

  • Search & Recommendation Systems
  • Exploratory Data Analysis (EDA)
  • Data visualization & storytelling
  • Statistical metrics and model evaluation
  • SQL & relational data analysis
  • Translating data into actionable insights

⭐ Feel free to explore my repositories - each one reflects how I think, build, and learn.

Pinned Loading

  1. Hybrid-Information-Retrieval Hybrid-Information-Retrieval Public

    Hybrid search engine combining BM25 and transformer-based semantic retrieval on the MS MARCO dataset.

    Jupyter Notebook

  2. Mobile-Veggie-Detector Mobile-Veggie-Detector Public

    Vegetable Identification App! This app helps to easily identify various vegetables in real-time using the smartphone camera. Simply point the camera at a vegetable, and the app will instantly recog…

    Java

  3. Amazon-Reviews-Sentiment-Analysis Amazon-Reviews-Sentiment-Analysis Public

    Sentiment analysis of Amazon product reviews using classical machine learning and transformer-based NLP models.

    Jupyter Notebook

  4. Library-Management-System-Software-Maintenance Library-Management-System-Software-Maintenance Public

    An enhanced PHP-MySQL Library Management System with soft delete, version history, and full admin activity logging.

    PHP

  5. CFMS-desktop-application CFMS-desktop-application Public

    A Java Swing-based desktop application that helps IT organizations collect, manage, and analyze customer feedback using a MySQL-backed system.

    Java