Hi, I'm

Mahitha J V

Full-Stack Developer ยท ML Enthusiast ยท CS Undergrad @ IIIT Pune

About Me

Mahitha J V

I'm a B.Tech Computer Science undergraduate at IIIT Pune with strong foundations in Data Structures, Algorithms, and core Computer Science subjects.

I'm skilled in building full-stack web applications using the MERN stack and Python-based Machine Learning pipelines with FastAPI and Scikit-learn.

I'm passionate about scalable software development, open-source contributions, agricultural technology, and applied Machine Learning.

Technical Skills

๐Ÿ’ป

Languages

C, C++, Python, JavaScript, HTML, CSS

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Frameworks & Libraries

React.js, Node.js, Express.js, FastAPI, Scikit-learn, Pandas, NumPy

๐Ÿ—„๏ธ

Databases

MongoDB, MySQL

๐Ÿ“š

Core CS

DSA, Operating Systems, Computer Networks, DBMS, OOP

๐Ÿ› ๏ธ

Tools

Git, GitHub, VS Code, Vite

Projects

๐ŸŒพ SmartAgri โ€“ Smart Farming System

GitHub โ†—
React.jsFastAPIPythonScikit-LearnPandasOpenWeatherMap API
  • Developed a full-stack AI-powered platform to support Indian farmers with intelligent recommendations across pre-, during-, and post-cultivation stages.
  • Implemented a location-based crop recommendation engine using ML models trained on soil and climate parameters.
  • Built a real-time farm safety monitoring module with weather-based analytics and geofenced safe-zone tracking.
  • Created a Government Schemes Hub surfacing relevant agricultural subsidies based on farmer profile and location.
  • Designed an interactive React dashboard integrated with FastAPI services for live visualization and farm insights.

๐Ÿจ Hotel Booking Platform

MongoDBExpress.jsReact.jsNode.js
  • Built a full-stack hotel booking application with JWT-based authentication and dynamic room reservation management.
  • Designed RESTful APIs for booking operations, user management, and hotel listing services.
  • Developed a responsive React frontend seamlessly integrated with a Node.js and Express backend.
  • Utilized MongoDB for efficient storage and retrieval of booking and user data.

๐Ÿฝ๏ธ Restaurant Rating Analysis

PythonNLPMachine Learning
  • Performed sentiment analysis on restaurant reviews using NLP techniques such as tokenization, stopword removal, and TF-IDF vectorization.
  • Trained and evaluated classification models for rating prediction using accuracy, precision, recall, and confusion matrix metrics.

๐Ÿ“Š Predictive Modeling using ML

PythonScikit-learnMachine Learning
  • Implemented regression and classification pipelines including Linear Regression, Decision Trees, and Random Forest algorithms.
  • Evaluated model performance on real-world datasets and documented comparative analysis of results.

Activities & Clubs

๐Ÿงฎ Quantum Math Club โ€“ IIIT Pune

Content Writer & Doubt Solver

  • Create and publish educational content on advanced mathematical and quantitative topics.
  • Mentor peers by solving doubts related to mathematics, logic, and algorithmic problem solving.

๐Ÿ‘ฉโ€๐Ÿ’ป Coding Clubs โ€“ Active Member

  • Participate in competitive programming contests, hackathons, and collaborative technical projects.
  • Qualified Smart India Hackathon (Internal Round) and Mumbai Hacks Hackathon through team-based problem solving and innovation.

Get In Touch

I'm always open to new opportunities, collaborations, and conversations. Feel free to reach out!