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.

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.

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.

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.

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.

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.

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.✨

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 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.

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.

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

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.

Real-time face emotion recognition app using deep learning, PyTorch, OpenCV, and Streamlit. Supports webcam/image input and displays top 3 predicted emotions with emojis. Useful for mood tracking, interactive apps, and HCI.

This project presents a Power BI dashboard analyzing sales performance in the food and beverages sector. It includes insights into total revenue,order trends, product performance, sales channels and individual salesperson contributions. Key KPIs such as average ticket price and quarterly order growth are visualized to support data driven decisions.

An interactive tool that analyzes sales performance, customer behavior, and payment trends across mobile brands. It features dynamic visuals and slicers to help businesses track key metrics, identify top-selling products, and optimize sales strategies.

this project focusses on the network infrastructure penetration testing on public IPs

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.

This project implements a Vending Machine Controller in Verilog, designed with APB interface support for configuration and monitoring. It integrates currency handling, item memory management, and control logic into a modular, scalable architecture.