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kireeti-ai/README.md

Hi there, I'm Kireeti


 About me

Coding

I’m a 3rd Year B.Tech Computer Science student at Amrita Vishwa Vidyapeetham, specializing in Java backend development (Spring Boot), Data Structures & Algorithms, and Machine Learning. I'm also proficient in full-stack MERN development and passionate about building efficient, scalable, and data-driven applications.

  • Excited to work on challenging projects and collaborate with others
  • Open to helping with web development and coding
  • Beyond tech: I enjoy gaming, movies, and music
  • My Portfolio: View Portfolio Website
  • Reach me at: [email protected]


  Skills

Languages:

Java  Python 

Coding gif

Frontend:

React  HTML5  CSS3 

Backend:

Spring Boot  NodeJS  Express 

Databases:

MongoDB  MySQL 

Deployment & Cloud Services:

Vercel Render  Cloudinary 

Tools & Environments:

IntelliJ IDEA  Git  GitHub  VS Code 



  My Projects

Food Delivery Website

Tech Stack: React.js, Node.js, Express.js, MongoDB

Architected a full-stack MERN application, building a RESTful API with Node.js/Express.js for managing users, restaurants, and orders. Implemented secure user authentication and authorization using JSON Web Tokens (JWT). Developed a dynamic React frontend for browsing menus, managing a persistent shopping cart, and processing checkouts.

Quiz Application

Tech Stack: React.js, Spring Boot, MySQL

Engineered a secure, multi-user backend using Spring Boot and Spring Security to manage quiz data and user roles. Designed and implemented REST APIs for full CRUD operations on questions, user scores, and categories, using MySQL for data persistence. Built a responsive React frontend for users to take quizzes, view real-time scores, and track leaderboard positions.

Air Quality Prediction using Machine Learning

Tech Stack: Python, Scikit-learn, Pandas, Flask

Trained and optimized a 'Random Forest Regressor' model (Scikit-learn, Pandas) to predict AQI based on 8 key pollutant features (PM2.5, NO2, etc.). Applied feature engineering and preprocessing to real-world data to improve model accuracy. Developed and deployed a Flask-based REST API to serve the trained model, enabling real-time predictions from user input.


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  1. Snap-dish Snap-dish Public

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  2. Quiz Quiz Public

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