Phishing URL Detection Tool
Python and HTML/CSS tool developed to identify malicious websites.
📌Aspiring Cyber security and digital forensic engineer |📍Student at Nitte University |⏳ Skilled in advance Python, SQL data base, C, java and html 🚀|
Enthusiastic BCA student specializing in Cyber Security, passionate about ethical hacking, AI-powered systems, and secure application development. Experienced in building real-time analytics, automation tools, and intelligent systems using Python and modern technologies.
Excelerate
2 mos
Work on developing cross-platform mobile applications using Flutter and Dart. Build responsive user interfaces, implement navigation and state management, and integrate APIs. Follow clean coding practices to create scalable applications for Android and iOS.
Excelerate
2 mos
Major Duties and Successes – Prompt Engineering Research Intern at Excelerate Explored Advanced Prompt Engineering Tools: Researched a variety of AI models (including OpenAI, Claude, and others) to understand their capabilities in content generation and user engagement. Developed Integration Strategies: Evaluated prompt engineering tools for potential integration into Excelerate’s content systems. Recommended viable platforms and techniques for improving engagement and content personalization. Conducted Comparative Analysis: Produced reports comparing features, performance, and impact of different AI prompt tools, supporting data-driven decision-making by the content strategy team. Enhanced Content Engagement: Provided actionable insights on optimizing prompts for interactive learning experiences, which contributed to increased user engagement metrics in pilot tests. Collaborated on Prototype Development: Assisted in developing test prototypes that showcased real-time prompt engineering use cases for educational and marketing content.
2024 – Present
Developed a Phishing URL Detection Tool using Python and HTML/CSS to identify malicious websites; built a Real-Time Crowd Analytics System using YOLO and OpenCV with a live dashboard, alerts, and email notifications; designed a Face Mask Detection & Alert System; worked on a Low-Code/No-Code Web App Builder (Project Omega) during a national-level hackathon.
2025 – Present
Developing ARGUS, a real-time voice-controlled AI assistant using Python and LiveKit, with system command execution, real-time voice streaming, AI interaction, modular architecture, scalable backend, and responsive frontend.
Excelerate
Completed a virtual internship involving data visualization and mobile app development with Flutter.
BCA, Computer Science
Jul 2024 - Jul 2028
12th, PCMC
Apr 2022 - Apr 2024
Bachelor of Computer Applications (BCA), Cyber Security
Focus on practical implementation and system security; actively working on real-world projects related to AI, automation, and cybersecurity.
Higher Secondary Education
Aug 2015 – Aug 2019
Python and HTML/CSS tool developed to identify malicious websites.
YOLO and OpenCV system with a live dashboard, alerts, and email notifications.
Computer vision-based face mask detection and alert system.
Low-Code/No-Code Web App Builder developed during a national-level hackathon.
Ongoing real-time voice-controlled AI assistant using Python and LiveKit, supporting system command execution, voice streaming, AI interaction, and modular scalable architecture.