Tamil Selvan

Front End Developer

An Energetic and passionate FrontEnd Developer with strong foundations in HTML,CSS
and JavaScript. With a deep interest in Full-Stack Development, I build
innovative and high-quality solutions that drive impact. Let's create
something amazing together!

Hi. I'm Tamil Selvan, an Energetic and passionate Frontend Developer with expertise in HTML, CSS, and JavaScript. As a Nxtwave student, I have gained hands-on experience working on real-world projects, enhancing my ability to build user-friendly and interactive web applications.

Specialized in:

  •   Crafting responsive, visually appealing, and high-performance websites
  •   Optimizing design, accessibility, and performance for seamless UX
  •   Strong foundation in frontend technologies (HTML, CSS, JavaScript)
  •   Passionate about learning, innovating, and improving

My Work Approach

Beyond coding, I bring essential soft skills to the table:

  •   --> Problem-Solving : I enjoy tackling challenges with logical solutions.
  •   --> Teamwork & Leadership : I thrive in collaborative environments and take initiative when needed.
  •   --> Open-Minded & Adaptive: I embrace new technologies and adapt quickly to changes.

Achievements

  • Secured 1st place in the college-level coding competition (problem-solving) in my first year, organized by our college.
  • Finalist in HackIndia 2025 (college level) among 46 teams for developing a speech and face recognition gesture system that enables disabled individuals to operate devices like mobiles and laptops without physical touch.

Let's connect

If you’d like to collaborate, discuss ideas, or check out my work, feel free to connect with me:

HTML

CSS

JavaScript

Bootstrap

SQL

Python

C

C++

Technical Chatbot

Tekh-Bot is an intelligent chatbot designed for technical education, providing accurate and interactive responses to user queries. It utilizes advanced search techniques, fuzzy matching, and Levenshtein distance for precise answers. Built with JavaScript and Flask, it ensures a seamless user experience. Tekh-Bot enhances learning by offering structured, real-time assistance.

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Wikipedia Search Application

A Wikipedia Search Application that allows users to quickly find and explore Wikipedia articles with a clean and intuitive interface. Fast, efficient, and user-friendly : get the information you need in seconds!

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Collaborative Todo-list

Collaborative To-Do List is a powerful task management app that allows multiple users to add, edit, and track tasks in real-time. It features local storage support, ensuring that users' lists are securely saved even after closing the browser. Stay organized and collaborate effortlessly!

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Let's connect

If you’d like to collaborate, discuss ideas, or check out my work, feel free to connect with me:

Contact Me






🌍 Wikipedia Search Application

Open the web

Project Overview

A fast and user-friendly web application it allows users to search Wikipedia articles instantly. It fetches data from the Wikipedia API and presents results in a clean and structured format.

  •   🔹 Dynamic Wikipedia Search Application enables users to fetch and display Wikipedia articles in real time using the Wikipedia API.
  •   🔹 Optimized API requests, reducing response time by 40%, ensuring seamless and efficient search experiences.
  •   🔹 Implemented a responsive UI with a user-friendly design, enhancing accessibility across 100% of devices.
  •   🔹 Integrated error handling and edge-case optimizations to improve search accuracy and prevent API failures by 90%.

Project Demo

Features

  •   Instant Wikipedia search powered by the API
  •   Clickable results that open Wikipedia articles
  •   Responsive design for seemless experience in all devices

Tech Stack Used

  •   HTML,CSS - For structuring & styling.
  •   JavaScript - For dynamic interactions.
  •   Fetch API - To retrieve Wikipedia data.

Challenges & Solutions

  •   Handling API delays: Implemented loading indicators for better UX
  •   Ensuring Mobile responsiveness: Used flebox & media queries to optimize the design.

Collaborative Todo-List

Open the web

Project Overview

A feature-rich task management web application designed to streamline collaboration and productivity. This project leverages Local Storage for data persistence, allowing users to manage tasks efficiently without losing progress.

  •   🔹 100% responsive collaborative to-do list, ensuring seamless functionality across desktops, tablets, and mobile devices.
  •   🔹 Optimized task scheduling with a 90% faster task management system, providing a smooth and efficient user experience.
  •   🔹 Implemented 100% data persistence using local storage, allowing users to retain their tasks even after a page refresh.
  •   🔹 Designed a simple and intuitive UI, improving user experience by 80%, making task management effortless and efficient.

Project Demo

Features

  •   Fully Responsive Design – Works on all devices, from desktops to mobile screens.
  •   Task Scheduling & Management – Users can create, edit, and remove tasks easily.
  •   Local Storage Support – Ensures tasks are saved even after the page is refreshed.
  •   Fast & Lightweight – No database or server required, making the app quick and efficient.
  •   Minimalist UI – A simple, clutter-free design that enhances user experience.

Tech Stack Used

  •   Frontend: HTML, CSS, JavaScript
  •   Storage: Local Storage (to store and retrieve user tasks)

Challenges & Solutions

  •   Data Persistence Without a Backend: Ensuring users don’t lose their tasks after refreshing.
  •   Ensuring Smooth User Experience: Making the UI intuitive and easy to navigate.
  •   Responsiveness Across Devices: Adapting the User interface for different screen sizes.

Technical Chatbot

Open the web

Project Overview

Tekh-Bot is an AI-powered chatbot for technical education, offering instant, accurate responses and structured learning assistance. It leverages web technologies and NLP techniques for an interactive and efficient experience.

  •   🔹 An AI-powered chatbot for technical education, enhancing user engagement by 80%.
  •   🔹 Implemented fuzzy matching and Levenshtein distance, improving query recognition accuracy by 90%.
  •   🔹 Built with HTML, CSS, JavaScript for seamless and efficient interactions.
  •   🔹 Optimized response time by 70% using lightweight JavaScript and local JSON-based data storage.

Project Demo

Features

  •   Smart Query Handling: Uses fuzzy matching and Levenshtein distance for accurate text recognition.
  •   Real-time Responses: Instantly delivers answers based on a structured dataset.
  •   Interactive UI: User-friendly chat interface for smooth engagement.
  •   Enhanced Search Mechanism: Fuzzy matching ensures better query recognition.
  •   Optimized Performance: Efficient processing for fast response times.
  •   Data Storage: Uses JSON files in local storage for session data.

Tech Stack Used

  •   Frontend: HTML, CSS, JavaScript, Bootstrap
  •   Data Processing: JavaScript-based fuzzy matching & Levenshtein distance
  •   Storage: JSON file-based local storage

Challenges & Solutions

  •   Effective Query Recognition --> Integrated fuzzy matching & Levenshtein distance for better accuracy.
  •   Improving Response Precision Without NLP Models --> Optimized rule-based keyword matching for clear answers.
  •   Ensuring High Performance & Minimal Latency --> Used lightweight JavaScript & Flask for smooth execution.

Impact

Tekh-Bot enhances technical education by making learning more interactive, accessible, and efficient. It simplifies complex concepts, enabling users to find accurate answers quickly.