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All Projects

A comprehensive collection of my work across web development, AI, and data engineering

Review Sentiment Analysis - Image 1
Review Sentiment Analysis - Image 2
Review Sentiment Analysis - Image 3
Review Sentiment Analysis - Image 4
Review Sentiment Analysis - Image 5
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Review Sentiment Analysis

A web-based sentiment analysis application using VADER and RoBERTa models built with Streamlit.

PythontransformersPandasNumPyStreamlitnltk
Email Spam Classifier - Image 1
Email Spam Classifier - Image 2
Email Spam Classifier - Image 3
Email Spam Classifier - Image 4
Email Spam Classifier - Image 5

Email Spam Classifier

A machine learning model to classify emails' or sms' text as spam or not spam (i.e ham). Using Naive Bayes algorithm and Pre-trained RoBERTa transformer model from Hugging Face.

Pythonscikit-learnPandasNumPytransformersStreamlit
QR Code Designer - Image 1
QR Code Designer - Image 2
QR Code Designer - Image 3
QR Code Designer - Image 4
QR Code Designer - Image 5

QR Code Designer

A beautiful, full-featured QR code designer built with Next.js and qr-code-styling. Generate, customize, and export designer QR codes with preset themes, advanced styling (dot & corner styles, colors, error correction), and multiple export options (PNG, SVG, JPEG, clipboard).

Next.jsReactTypeScriptTailwind CSSqr-code-styling
Portfolio Website - Image 1
Portfolio Website - Image 2
Portfolio Website - Image 3

Portfolio Website

Modern, responsive portfolio built with Next.js (App Router) and TypeScript. Showcases projects, skills, blogs, and contact information. Includes a dark/light theme toggle (next-themes), responsive layouts with Tailwind CSS, project cards with cycling image galleries, and a dedicated projects page. Live demo and source code are linked.

Next.jsTypeScriptTailwind CSSReact
Vehicle Insurance Claim Prediction - Image 1
Vehicle Insurance Claim Prediction - Image 2
Vehicle Insurance Claim Prediction - Image 3

Vehicle Insurance Claim Prediction

Predictive model for estimating vehicle insurance claims using machine learning techniques.

Pythonscikit-learnPandasNumPy
Resume Screening Model - Image 1
Resume Screening Model - Image 2
Resume Screening Model - Image 3
Resume Screening Model - Image 4
Resume Screening Model - Image 5

Resume Screening Model

Resume Screener using TF‑IDF to filter candidate resumes. The app extracts their text, preprocesses, vectorizes and compares them to role-specific keyword profiles, The project includes model training and serialization. FastAPI and Kubernetes/Docker are provided for deployment as well.

Pythonscikit-learnFastAPIDockerStreamlitKubernetesRapidOCR