Online CV Builder

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- Created a user-friendly web application enabling users to create professional resume easily

- Implemented 8+ professional CV templates and customization options, resulting in 90% positive user feedback and a 60% increase in user engagement.

- Engineered a mobile-responsive UI using HTML/CSS and JavaScript that reduced page load time by 40% and improved cross-browser compatibility to 98%.

Tech Stack: HTML/CSS | JavaScript

JOB - PORTAL APPLICATION

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- Developed a job portal with Java (JSP, Servlets) for users to sign up, log in, update profiles, and view listed jobs.

- Implemented admin features for posting jobs, viewing job listings, and managing job posts with secure login.

- Used JDBC for database interaction with MySQL and applied Bootstrap for responsive front-end design.

- Deployed the project using Eclipse, Maven, and Tomcat, with database management via PostgreSQL.

Tech Stack: Java | JDBC | Servlet | JSP | PostgreSQL

ONLINE CERTIFICATE MANAGEMENT SYSTEM

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- Developed a web application to manage certificate issuance and user roles using React and Spring Boot.

- Implemented MySQL for database management and JWT for secure authentication.

- Key features include state persistence, analytics dashboards, input validation, and exception handling.

Tech Stack: Spring Boot | React | JWT | MySQL

Criminal Identification System Using Photo Matching Across Distributed CCTV Surveillance Networks

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- Developed a robust photo matching system for criminal identification utilizing a distributed CCTV surveillance network.

- Created and deployed a web-based interface for monitoring and analysis, allowing law enforcement to upload images and receive instant matches from the networked cameras.

Tech Stack: Python | OpenCV | Flask | Streamlit | Haar-Cascade | LBPBH

Diabetes Prediction Using Machine Learning

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- Developed a robust machine learning model for accurate diabetes prediction based on the given dataset.

- Conducted a comparative study using Decision Tree, Random Forest, and K-Neighbors models for diabetes prediction based on patient features.

Tech Stack: Python (Flask) | API | HTML/CSS

Cereal-Analysis-Based-on-Machine-Learning

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- Used machine learning algorithms to predictthe food with a high beneficiary diet.

- Model canpredict the rating of the food more accurately by giving the inputs which are the cereals and ingredients present in the food.

Tech Stack: : Anaconda | Jupiter Notebook | Machine Learning Algorithms.