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sure-trust

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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.

  • Updated Jul 12, 2025
  • Jupyter Notebook

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.

  • Updated Apr 16, 2025

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

  • Updated Apr 24, 2025

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.

  • Updated Apr 25, 2025
  • Verilog

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.

  • Updated Apr 23, 2025
  • Verilog

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.

  • Updated Apr 16, 2025

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.

  • Updated Apr 16, 2025
  • Python

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.

  • Updated Apr 16, 2025
  • Jupyter Notebook

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

  • Updated Apr 16, 2025

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.

  • Updated Apr 16, 2025

A healthcare appointment scheduling system built with Flask and FastAPI. Users can search for doctors by name, city, or specialty, book appointments, and confirm details effortlessly. The platform features a responsive UI and secure login system for seamless user experience.

  • Updated Apr 16, 2025
  • Python

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