ML · Healthcare
Heart Disease Prediction
Predicts likelihood of heart disease using ML techniques. Analyzes health parameters to enable early diagnosis and timely medical intervention.
AI Developer · Full-Stack Engineer · CS Student
Building intelligent web applications at the intersection of machine learning and modern frontend engineering. B.Tech CSE (Data Science) at Rai Technology University.
What I work with
A well-rounded stack spanning frontend engineering, backend services, and AI/ML pipelines.
What I've built
ML · Healthcare
Predicts likelihood of heart disease using ML techniques. Analyzes health parameters to enable early diagnosis and timely medical intervention.
ML · NLP
Web app that classifies email as spam or not using a RandomForestClassifier trained on labeled data. Flask backend with a TailwindCSS frontend.
AI · Voice
Voice-activated assistant powered by Google's Generative AI. Listens for "hello pk" activation phrase and performs computer actions and conversational responses.
ML · Banking
AI · Productivity
A TV shows and movie recommendation engine built with machine learning. Uses TF-IDF vectorization and Cosine Similarity to suggest content based on genres and descriptions.
React · API
Responsive ReactJS weather app. Search any city for real-time temperature, humidity, and conditions via a weather API.
React · Security
Secure ReactJS password manager. Add, view (toggle visibility), and delete saved passwords for different websites.
Data · Analytics
Analyzed customer demographics, sales channels, and order details in Excel to derive business insights and inform decisions.
Web · Tool
Generate QR codes for URLs or text with one click. Supports downloadable output for easy sharing.
Web · Productivity
Interactive to-do list app to organize tasks. Add, edit, mark as completed, and delete tasks with a clean interface.
Web · Fun
Displays inspirational quotes at the click of a button. Minimal, clean interface with smooth interactions.
Web · Fun
A playful web project showcasing interactive design with fun user interaction elements built with modern web technologies.
Who I am
I started my technology journey in web development, creating clean, responsive user interfaces. However, once I explored Artificial Intelligence and Machine Learning (AI/ML), I fell in love with how data can make systems intelligent. I pivot-focused my efforts to master AI/ML, which is where my passion lies and what I am dedicated to today.
Currently, I am pursuing a B.Tech in Computer Science and Engineering (Data Science) at Rai Technology University, Bengaluru. Building projects like heart disease classification and voice assistants has helped me bridge frontend technologies with intelligent backends (using Flask), turning complex data models into functional, interactive tools.
As a CS and Data Science student, my goal is to continue engineering AI-powered solutions that solve real-world problems. I strive to combine the precision of machine learning with the seamless accessibility of web development to build modern, impactful products.
Background
Early Education — Yadgir
Born November 3, 2006. Class 10 at Mahatma Gandhi School (2022). PCMB stream at Prerana PU College, Yadgir — passed with 80%.
Education
B.Tech CSE (Data Science) · Rai Technology University
Started tech journey in high school with HTML, CSS, and JavaScript. Expanded into ML through a Udemy course — NumPy, pandas, scikit-learn, TensorFlow. Built projects in heart disease prediction and dog breed classification.
Skills
Web & Data Science Proficiency
Developed strong web fundamentals — responsive layouts, interactive UIs, clean code. Integrated ML models into web apps using Flask, bridging frontend and data-driven backends.
Future Goals
Full-Stack & AI Engineering
Dedicated to expanding skills in full-stack development and AI-based technologies. Goal: contribute to meaningful projects that solve real-world problems and make a positive impact.
Let's connect
Always open to discussing internship opportunities, new projects, or collaborations in web development and AI.