A personal portfolio and project showcase for a final-year Computer Science student at the University of Pécs specializing in Data Science and Machine Learning.
View Live Site »This repository contains the frontend TypeScript/Next.js code for the portfolio interface, alongside the Python-based data pipelines and ML models featured on the site.
- Diabetes Prediction Model: Predictive modeling using clinical and survey-based datasets (BRFSS).
- AQI Prediction Dashboard: Air Quality Index prediction for the Tharparkar district with an automated data pipeline.
- X-Ray Image Classification: Transfer learning (EfficientNetB0) and custom CNNs built from scratch for medical imaging.
- Machine Learning & Data Science: Python, Pandas, NumPy, Scikit-learn, XGBoost
- Frontend Architecture: Next.js 14, React, TypeScript, TailwindCSS, Framer Motion, Shadcn/UI, Magic UI
- Deployment & Hosting: Deployed on Vercel, optimized for static HTML exports.
- Configuration: Entire portfolio content is driven by a single config file (
src/data/resume.tsx).
- Clone this repository to your local machine:
git clone [https://github.com/ShankerLal25150/ShankerLal25150.github.io.git](https://github.com/ShankerLal25150/ShankerLal25150.github.io.git)
- Move to the cloned directory:
cd ShankerLal25150.github.io - Install dependencies:
npm install
- Start the local server:
npm run dev