About
Learn more about me
Projects
My latest work
Education
Academic journey
Skills
Technical expertise
Contact
Get in touch
Check out my
Resume
!
Learn more about me
My latest work
Academic journey
Technical expertise
Get in touch
➺ I'm Surya Mathivanan, a final-year B.Tech student in Artificial Intelligence and Data Science at KIT – Kalaignarkarunanidhi Institute of Technology, Coimbatore. With a strong foundation in both frontend and backend technologies, I specialize in building modern, user-focused web applications using the MERN stack and Firebase.
➺ Over the past few years, I’ve actively built real-world projects such as quiz apps, typing test platforms, and voice assistants, and have participated in more than six national-level hackathons. I also engage in competitive programming on platforms like CodeChef, Learnlogicify, and LeetCode, with over 850 problems solved.
➺ I’ve completed internships and in-plant training in Python and Data Science, and earned certifications from Infosys, Coursera, and Altair in fields like software engineering, AI, ML, and web development. My strengths include adaptability, quick learning, and collaboration, and I’m always excited to explore new challenges and technologies in software development.
This is a self-interest project I created to explore and learn Power BI dashboarding. I used a publicly available Spotify dataset (link below) to analyze songs, artists, and their performance across platforms. The main goal of this project was to practice different types of Power BI charts and understand how to build an interactive music analytics dashboard.
This project visualizes customer demographic and spending behavior using the Customer Personality Analysis dataset from Kaggle. The dashboard helps identify key patterns in income, education, marital status, complaints, purchases, and product preferences.
A streamlined, secure AI chat application featuring Google's Gemini AI. This project provides a minimal yet powerful implementation of: 🔐 Secure Google Sign-In authentication 💬 Protected AI Assistant chat interface 🚪 User session management with logout functionality 🤖 Integration with Google's Gemini AI 🎯 Clean, focused user experience
This is a Flask web application that allows registered users to search Wikipedia articles, listen to summaries using text-to-speech (TTS), and download content as PDF or audio files. It also includes user authentication and search history features using a MySQL database.