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B.Tech CSE Student | Full-Stack & Machine Learning | Built real-world web and ML projects | Actively seeking internships & hackathons 🚀
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Personal-Portfolio-Website
June 10, 2026 – Present
Personal portfolio website built with Next.js, TypeScript, and Tailwind CSS. Showcases my projects, skills, experience, and achievements with a modern, responsive UI.
View ProjectSmartGym-AI
May 31, 2026 – Present
AI-powered fitness app that provides real-time posture correction, exercise recognition, and personalized workout and diet planning.
View ProjectInsightAir--Air-Quality-Trend-Analysis-System
April 21, 2026 – Present
Analyze and forecast global air quality trends with real-world data and intelligent insights.
View ProjectSpinny-2.0-Car-price-Predictor
December 16, 2025 – December 16, 2025
Spinny 2.0 – Car Price Predictor is a machine learning project that predicts the selling price of used cars from the Quikr Cars dataset using features like car name, brand, year etc.
View ProjectFraudLens--Credit-Card-Fraud-Detection-
December 15, 2025 – Present
End‐to‐end credit card fraud detection system with a full ML pipeline and a Streamlit web app for real‐time and batch predictions, built on the Kaggle credit card transactions dataset.
View ProjectSIMON--Memory-Game
July 7, 2025 – July 7, 2025
A memory game for fun in which you have to follow patterns.
View ProjectDrum-Kit
July 5, 2025 – July 5, 2025
A drum kit fun project which lets you play drums. This is only for fun!!
View ProjectShopEase
December 26, 2024 – August 20, 2025
ShopEase is an online Organic Grocery Website made with the help of HTML, CSS, Javascript, MySql, Php.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in data science and machine learning, aligning with a Data Scientist role. The diversity of projects (AI fitness, air quality, car price prediction, fraud detection) indicates a broad curiosity and willingness to explore different problem domains. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, indicating good written communication.