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Projects

Each project reflects my ability to blend creativity with technology, delivering solutions that are both functional and visually engaging. I focus on building responsive designs, integrating dynamic features, and ensuring smooth user experiences. These works showcase my skills in problem-solving, innovation, and developing impactful digital products.

MY WORKS

Jeyasurya Restaurant – Responsive Website

Responsive UI Fast Loading Animations
Jeyasurya Restaurant website preview

Built a modern restaurant site with interactive menu and reservation CTA. Optimized typography, spacing, and image delivery for clarity and speed across devices.

Highlights

  • Stack: HTML, CSS, JS
  • Features: Sticky header, smooth scroll, menu filter
  • Performance: compressed images, lazy-loading

Design Academy – Parallax Portfolio

Parallax Showcase Interactive
Design Academy parallax site preview

Created a visually rich portfolio for a design academy with smooth parallax layers and scroll-triggered reveals to highlight courses and student work.

Highlights

  • Stack: HTML, CSS (parallax), JS
  • Sections: Courses, Gallery, Testimonials
  • Focus: Visual storytelling & accessibility

CHEFY – API-Powered Recipe App

API Fetch Search Favorites
CHEFY recipe app preview

Built a recipe explorer fetching live data by ingredients. Includes favorites, detailed recipe view, and responsive cards.

Highlights

  • Stack: HTML, CSS, JS (fetch)
  • Features: Debounced search, pagination
  • UX: Keyboard navigation & ARIA labels

Touristo – Smart Travel Guide

Maps Explore Recommendations
Touristo travel guide preview

A lightweight travel guide site with curated places, basic maps integration, and category filters to plan trips quickly.

Highlights

  • Stack: HTML, CSS, JS
  • Features: Category filters, wish-list
  • Perf: Code-split routes & lazy images

AI-Based Load Forecasting – Smart Grids

ML Model Insights Time Series
AI Load Forecasting dashboard preview

Implemented a forecasting module using historical consumption and weather factors to predict short-term load for smarter energy planning.

Highlights

  • Focus: Data prep, feature engineering
  • Models: Regression baseline + tuning
  • Output: Charts & exportable reports