Computer Science Engineering graduate with experience in frontend development, web technologies, and SEO. Skilled in Jav

Simran Nayak  • Peerlist

AI Resume Analyzer | Full-Stack Web Application Developed an AI-powered resume analysis platform that evaluates resumes for ATS relevance, skill distribution, and improvement areas. Integrated Google Gemini AI for contextual resume understanding beyond traditional keyword matching. Designed a clean, data-driven dashboard focused on real-world usability, performance, and clarity. Tech Stack: React.js, Tailwind CSS, Node.js, Express.js, Gemini AI API, Recharts

AI Resume Analyzer

This project aims to detect and classify Windows executable files (.exe) using machine learning techniques. Through static analysis and pattern-based learning, the system identifies whether a file is Malware or Benign. Built with a Python backend and a simple web UI, this tool demonstrates a practical approach for cybersecurity analysis in real-time. It serves as a foundational model that can be extended into enterprise-level security tools or integrated with antivirus software and threat intelligence systems.