Meet Meerashree, the eldest child of the Pandi family from Madurai, Tamil Nadu. I completed my schooling at Government Kallar Girls Higher Secondary School in Checkanurani, where I was a consistent topper in both the 10th and 12th classes. I am currently pursuing my B.Tech in IT at Velammal College of Engineering and Technology, Madurai, with a CGPA of 7.95(Upto Sem 6).
During my studies, I completed an internship at Thanvi Technology, Madurai, as a Frontend Developer. My project? You're literally looking at it! 😉
Along the way, I also earned a TCS iON certification, expanding my skills in Java, HTML, CSS, UI/UX design, and AI/ML.
For my mini project, I created INISAI, a music streaming web app built with React (Vite) and Tailwind CSS, powered by PHP for secure login. It features real-time validation using AJAX and delivers a smooth, dynamic user experience with a personal touch.
I’ve also built three AI & ML models:
🌌 Heart Disease Prediction using AI/ML — a smart model that could save lives
🔐 AI-Based Typing Biometric for Behaviour-Locked Decryption — a secure system that unlocks secrets only with your unique typing style.
🌌 AI-Powered Dream Visualizer — because dreaming big deserves a little machine learning magic
I have participated in multiple paper presentations, including IEEE conferences and events conducted by SAE India, where I showcased my strong interest in technological advancements. Additionally, I am a zone-level chess player, reflecting my competitive mindset and strategic thinking. Beyond academics, I enjoy drawing, singing, dancing, and video editing, which allow me to explore and express my creative side.
My goal is to join a reputed product-based company where I can design impactful user experiences and grow in a positive environment.
june 2019 - march 2020
I completed my secondary schooling at the Government Kallar Girls Hr.Sec.School in Checkanurani, Madurai district. I was the topper in secondary school, and I received 87% in the board exam. In my school days, I have organized many events.
oct 2020 - may 2022
I completed my higher secondary schooling at the Government Kallar Girls Hr.Sec.School in Checkanurani, Madurai district. I scored 83% in the public exam. During my school days, I have organized many events and I was the leader of my class.
2022 - 2026
I am a dedicated final-year B.Tech IT student at Velammal College of Engineering and Technology, with a CGPA of 7.95 (up to 6th semester). I have a strong foundation in Java and web technologies such as HTML, CSS, and UI/UX design. My skill set also includes AI & ML, MySQL, and Business Analysis, enabling me to understand business requirements and translate them into effective technical solutions.
" Start where you are. Use what you have. Do what you can."
I have received certificate in group discussion and I got first place in tire 1 and runner in tire 2.
📌 SAE India member
📌 ECO club member
📌 NCC cadet
📌English
📌Tamil
📊 From imagination to implementation—here's how I turn ‘what if’ into what works.
Your Music Partner
Designed and developed INISAI, a modern music streaming web app with a strong focus on UI/UX.
I crafted the complete visual identity, including the custom logo, and built an intro animation to enhance the
first-time user experience. The interface is fully responsive, fast, and clean — created using React (Vite) and
Tailwind CSS, with secure login handled through PHP and real-time validation powered by AJAX.
Live Website:
Click here to explore Innisai
GitHub:
View the code
AI-Based Typing Biometric for Behaviour-Locked Decryption
Developed a secure authentication system integrating keystroke dynamics with AES encryption, where access to encrypted data is locked to the user’s unique typing behavior. Implemented Kernel Ridge Regression (KRR) for accurate typing pattern recognition (98% accuracy), and designed a Flask-based server to handle biometric validation, encryption/decryption, and secure key management.
📜 View Certificate | 📄 View Paper (PDF)
Heart Disease Prediction Using AI & ML
Developed a predictive model to evaluate heart disease risks by employing machine learning algorithms, specifically logistic regression and random forest.
AI-Powered Dream Visualizer
Created an AI-driven model to forecast dream outcomes (such as good or bad) by analyzing alpha, beta, gamma, and delta brainwave inputs. Integrated external APIs to dynamically visualize dreams based on machine learning predictions.
New to the game, but ready to play.I’m just starting out—but I learn fast, listen well, and love turning ideas into real working things. Let’s build together! Got something exciting? I'm just one click away 📩🚀