Facial Expression Recognition System using YOLOv9 & Flask. Detects 5 emotions (Angry, Happy, Natural, Sad, Surprised) from images/live camera with mAP50 of 0.731. Features a web interface with file uploads, real-time processing, & emoji feedback. Built with Python, OpenCV, Flask, HTML/CSS/JS. Ideal for HCI & emotion analysis.

This project is a fully functional Vending Machine Controller designed using Verilog HDL, featuring modular design, multi-clock domain handling, and APB-based configuration. The system supports both configuration and operation modes, allowing real-time selection, purchase, and dispensing of items based on valid currency input.

Vulnerability Assessment and Penetration Testing (VAPT) Internship Project conducted under Sure Trust, focusing on identifying security risks in public IP infrastructure using industry-standard tools and methodologies.

Black-box network penetration testing project using tools like Nmap, Nessus, Metasploit & Burp Suite. Includes CVSS-based risk assessment & remediation roadmap.

FloraMart is a responsive e-commerce website for buying and selling plants online, built using HTML, CSS, JavaScript, jQuery, Flask, and PostgreSql. It features user login, admin dashboard, dynamic cart system, plant care tips, search & filter.

This project implements a Verilog-based Vending Machine Controller with support for APB configuration, item dispensing, and currency validation. It features FSM control, clock domain synchronization, and is fully synthesizable for FPGA applications.

A Data Analytics project on Bike Sales and Performance using Power BI

Final Project: The primary goal of this project is to design and implement a system that measures humidity and temperature using the DHT11 sensor interfaced with an STM32F103C8 microcontroller. The collected data is displayed on a 16x2 LCD screen, providing real-time environmental monitoring.✨

Verilog-based vending machine controller IP core, supporting multi-clock domain operation, inventory management, and currency denominations. Built with the APB protocol for efficient configuration, it offers smart change calculation and robust error handling. Developed in the SURE ProEd internship training with experts.

(Gesture Recognition included)

A web-based platform that allows users to rent electronic gadgets like smartphones, cameras, laptops, gaming consoles, and more on a daily, weekly, or monthly basis. The goal is to make premium gadgets accessible and affordable without the need for purchasing.

This repository showcases my internship projects with sure trust, covering fitness performance and health analytics, book metadata analysis, and sql-based data management. the work highlights my skills in sql, power bi, and data analytics by designing databases, developing interactive dashboards, and delivering actionable insights.

Facial Expression Recognition System using YOLOv9 & Flask. Detects 5 emotions (Angry, Happy, Natural, Sad, Surprised) from images/live camera with mAP50 of 0.731. Features a web interface with file uploads, real-time processing, & emoji feedback. Built with Python, OpenCV, Flask, HTML/CSS/JS. Ideal for HCI & emotion analysis.

This project, developed under SURE Trust, presents a scalable Verilog-based vending machine controller using FSM and modular RTL design. It handles asynchronous inputs, supports APB configuration, and enables real-time dispensing to enhance performance and flexibility.

This is the design of Vending Machine ,which includes Reset Mode, configuration mode, operation mode. This is designed meeting with the real time vending machine specifications.

AI-Powered Smart Expense Manager is a financial tool that helps users track and manage expenses easily. Using AI and machine learning, it categorizes spending, predicts future expenses, and provides insights to improve budgeting and financial decisions.

A Verilog-based RTL design of a configurable vending machine controller with APB configuration, asynchronous input handling, and real-time item dispensing.

This project focuses on identifying security weaknesses in a network by performing vulnerability assessment and penetration testing on a specific IP address. Tools like Nmap, Nessus, Metasploit, and Wireshark were used for scanning, analysis, and exploitation. The goal was to simulate real-world attacks in a safe environment

This Supply Chain Analysis project uses Power BI to explore cost, logistics, production, and performance data for a fashion and beauty startup. It identifies key operational inefficiencies and provides interactive dashboards to support data-driven decision-making and profitability improvement

An interactive data analytics project focusing on student placement data for educational institutions. The project utilizes Power BI, Power Query, and DAX to clean, model, and visualize multiple datasets. It aims to uncover actionable insights about placement trends, hiring company patterns, job roles, and academic performance metrics.