My Projects

Parking Recognition System

Parking Recognition System with a Reservation System

GitHub Python, Streamlit, Notebook, Yolov8, SVM, Machine Learning October 2024 - January 2025

Description

The Parking Space Recognition System is designed to detect and manage parking spaces in real-time using computer vision and machine learning. This system includes several modules for data preparation, classification, and real-time parking spot analysis.

Football Game Analysis

Football Game Analysis

GitHub Python, Notebook, OpenCV, Numpy, Yolov5 December 2024 - January 2025

Description

This project is designed to analyze football (soccer) game footage using computer vision and machine learning techniques. It tracks players and the ball, assigns teams to players, and identifies which team has possession of the ball at any given time. The output is an annotated video with visualizations of player movements, team assignments, and ball possession.

Supervisor Management App

Spring Boot Web Application for Efficient Supervisor Management at RADEM Agencies

GitHub Java, SpringBoot, SQL, JavaScript, HTML, CSS August 2024 - September 2024 RADEM

Description

Developed a Spring Boot web application to streamline supervisor management across RADEM agencies. Implemented features for efficient tracking, reporting, and administration of supervisors. Ensured scalability, security, and maintainability with Spring Boot, while creating a responsive UI using HTML, CSS, and JavaScript.

BCG Data Science Job Simulation

BCG Data Science Job Simulation

Python, Pandas, NumPy, Scikit-learn, Data Visualization, Random Forest January 2025 - March 2025 Forage

Description

Completed a customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills, identifying essential client data, and outlining a strategic investigation approach. Conducted efficient data analysis using Python, including Pandas and NumPy. Employed data visualization techniques for insightful trend interpretation. Engineered and optimized a random forest model, achieving an 85% accuracy rate in predicting customer churn. Delivered a concise executive summary for the Associate Director, providing actionable insights for informed decision-making based on the analysis.

Multi Agent Mapping and Surveillance

Multi Agent Mapping and Surveillance with e-Puck Webots Robots

GitHub Python, Webots, Computer Vision, Reinforcement Learning February 2025 - Present

Description

Developing a cooperative multi-agent system using e-Puck robots in Webots. Designing an autonomous framework for real-time mapping and surveillance. Integrating computer vision and reinforcement learning to optimize agent collaboration. Aiming to enhance mapping accuracy, efficiency, and coverage over single-agent approaches.

CV Ranking System

CV Ranking System

GitHub Python, Streamlit, OpenAI, Google Gemini, xAI Grok, NLP April 2025 - May 2025

Description

Developed an AI-powered CV analysis tool that evaluates resumes against job descriptions using multiple AI providers (Gemini, OpenAI GPT, and xAI Grok). The system provides detailed feedback, section-wise scoring, and actionable improvement suggestions. Features include support for multiple file formats (PDF, DOCX, TXT), comprehensive scoring, secure API key handling, and a modern Streamlit interface for real-time analysis.

Portfolio

Portfolio

GitHub HTML, CSS, JavaScript, NodeJs November 2024 - February 2025

Description

This portfolio showcases my projects, skills, and certifications. It is designed to provide a clean and modern user experience, with responsive design and smooth animations. The portfolio is built using HTML, CSS, and JavaScript, and it serves as a central hub for my professional work.