Projects
Identifying a phishing website using deep learning
I Utilized deep learning algorithms like R- NN and C- NN to discern phishing websites by analyzing intricate patterns in web content, URLs, and user behavior, thereby distinguishing deceptive sites from legitimate ones. Employing neural networks trained on diverse datasets to detect anomalies in page structure, language, and visual cues, enabling accurate identification and preemptive mitigation of potential cyber threats. Harnessing the power of machine learning models to swiftly recognize and flag suspicious elements within websites, fortifying cyber defenses against phishing attacks.
This was my Final year college project for my degree completion and awarded Outstanding grade.
Created a dedicated network architecture for Aruna labs & X-rays for their safe and secure transfer of patient reports and other communications
Crafting a tailored network architecture for a private clinical laboratory, integrating robust security measures, segregated access controls, and encrypted data transmission to ensure stringent privacy compliance and safeguard sensitive medical information. Designing a scalable and resilient infrastructure with redundant systems, prioritizing seamless connectivity for diagnostic equipment, patient records, and healthcare professionals while maintaining high reliability and data integrity.
Designed, Developed and Published a Dynamic web-site for a Indian Restaurant in Toulouse, France
Successfully crafted, developed, and launched a vibrant, dynamic website for an authentic Indian restaurant nestled in the heart of Toulouse, France. Meticulously designed to showcase the rich culinary offerings, the site seamlessly integrates responsive features, an enticing menu display, and an immersive visual experience. Elevating the restaurant's online presence, the website embodies the essence of Indian cuisine, inviting patrons to explore, connect, and savor a taste of India in Toulouse.
Contribution to Linux community
I am making a contribution to the linux community on the existing tools in linux (like:, Maltigo, aircrack) and helping others to upgrade their skills in using of it and debugging the problem faced in the usage of it.
Publication
Innovate a model of phishing website and detection with features tools
Developing an advanced phishing website model integrating AI-driven behavioral analysis and pattern recognition tools for swift detection. Leveraging features like anomaly detection, URL analysis, and machine learning algorithms to fortify cybersecurity measures against evolving phishing attacks.