B.Tech Cyber Security Student | VAPT & Ethical Hacking | AI/ML for Security
- Cybersecurity & VAPT: Vulnerability Assessment / Penetration Testing
- Full-Stack Development (MERN): Secure web applications
- AI/ML: Machine Learning for Threat & Anomaly Detection
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NetSage-ML
ML-based Intrusion Detection System usingApache Kafka(real-time streaming) andMongoDBfor storage. -
Stego-Detector
Python tool for detecting hidden data in images using statistical and ML techniques. -
Phishing URL Detector
ML model to detect malicious and phishing URLs via feature extraction and classification. -
Anomaly Bias Project
Anomaly detection and bias analysis in datasets using Python and ML. -
Semantic Log Detector
ML-based tool for detecting anomalies and suspicious patterns in system logs for enhanced cybersecurity.
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Real-Time Chat App
Full-stack chat app with real-time messaging, authentication, and responsive UI. -
Swiggy Clone
Frontend clone of Swiggy with modern web technologies and component-based design. -
Spotify Clone
Web-based music streaming UI with playlists and interactive controls. -
Payments App
JavaScript-based payment interface focusing on transaction flow. -
UPI Tracker
Dashboard for tracking UPI transactions. -
Contact App
Simple contact management web app using HTML, CSS & JavaScript.
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LawGPT
RAG-based AI legal assistant trained on Indian Penal Code data. -
Hand Gesture Game Control
Computer vision project using hand gestures to control browser games. -
LeetCode Solutions
Data structures and algorithms solved inC++.
- Cybersecurity: VAPT, Ethical Hacking, Network Security, OWASP Top 10
- Full Stack: MERN Stack, REST APIs, JWT Authentication, Tailwind CSS
- AI / ML: Anomaly Detection, Computer Vision, Apache Kafka
- Databases: MongoDB, PostgreSQL, FAISS
- Tools: Git, GitHub, Linux, VS Code, Postman
- LinkedIn: Rishit Sharma
- Email: sharmayaara83@gmail.com
- GitHub: ghostreindeer09
Always learning. Always building. Always securing.
