Fazal
I’m a tech enthusiast and Computer Science Engineering student at SR University, focused on cybersecurity. With skills in Python, C, computer networking, and frontend development, I combine development and security insights to protect digital environments. Certified in various cybersecurity tools, I’m driven by a passion to learn and secure the tech landscape. Excited to connect with professionals who share my mission to safeguard our digital future.
Worked on cybersecurity projects such as a network packet analyzer, steganography program, and password strength checker.
Developed cybersecurity tools using Python, including a network analyzer and password management programs.
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This project utilizes Scapy to detect ICMP packets and sends SMS notifications using the Twilio API when certain types of ICMP packets are detected. This can be useful for monitoring network activity and potential scanning attempts.
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This Python script employs the pynput library to meticulously capture keystrokes, documenting both alphanumeric and specialized keys, archiving them into a file for comprehensive analysis of user input behavior and precise keyboard event tracking.
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This Python script evaluates password complexity, scoring it out of 100 based on length, lowercase and uppercase letters, digits, and special character
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The SRH IPL Team Website provides comprehensive player profiles, real-time scores, detailed match schedules, league standings, and timely news updates specifically tailored for dedicated Sunrisers Hyderabad cricket enthusiasts and supporters.
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This website is a text-to-image generator that allows users to input text and generate corresponding images using Melonie AI. The website utilizes the Melonie AI API to seamlessly integrate text processing and image generation functionalities.
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This is a simple BMI (Body Mass Index) calculator web application. It allows users to input their height and weight, and it calculates and displays their BMI along with a corresponding health category.
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This project is a simple web application for searching emojis using HTML, CSS (with Tailwind CSS), and JavaScript. It utilizes an open-source API to fetch emoji data and is designed to be responsive across various devices.
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Issued by:Try Hack Me
December 2024
Issued by: Prodigy infotech
May 2024
Issued by: SalesForce
June 2023
Issued by: CISCO
November2024
Feel free to reach out via Outlook!