Hello, I'm

Femina K

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Computer Science student passionate about building production-ready applications. From clean UI design to secure backend systems, I create end-to-end solutions with a focus on clarity and user experience.

About Me

I'm a Computer Science student at Thanthai Periyar Government Institute of Technology, driven by a passion for building practical, real-world software that balances beautiful user experience with robust engineering. My journey focuses on creating end-to-end solutions that are reliable, scalable, and user-friendly.

Whether it's full-stack web development, AI-assisted automation, or UI/UX design, I approach every project with an emphasis on clarity, efficiency, and real business impact. I enjoy transforming ideas into production-ready applications — from designing intuitive interfaces to developing secure backend systems.

Technical Toolbox

Languages

HTML 5CSS3JavaScriptPythonC++C

Frameworks & Backend

ReactNode.jsExpress.jsMongoDBREST APIFlask

AI & Automation

ChatGPTGoogle GeminiDeepseekSeleniumn8nLovable

Databases

MongoDBMySQLPostgreSQLSQLite

Cloud & Deployment

VercelGoogle CloudGitHub

Core Competencies

Full-Stack Web Development
AI & Agentic Workflows
UI/UX Design
Responsive Design
API Development
Team Collaboration

Featured Projects

A selection of projects that showcase my skills in full-stack development, AI automation, and design.

ActiveTime - Full Stack Productivity Application
🎨

ActiveTime

Full Stack Productivity Web Application

A production-ready productivity web app that helps users manage time, track tasks, and improve daily focus through structured workflows. Deployed live with JWT-based authentication, real-time task tracking, and comprehensive activity monitoring.

Highlights

  • JWT-based authentication
  • Task & productivity tracking
  • Activity monitoring with timers
  • Responsive and clean UI
  • Secure backend APIs
  • Production-ready deployment

Tech Stack

React.jsNode.jsExpress.jsMongoDBJWTVercelGoogle Cloud
Product Availability - UI/UX Design System
🎨

Product Availability

UI/UX App Design in Figma

A comprehensive UI/UX design project showcasing clean, intuitive interface design focused on product availability tracking. Features clear information hierarchy, user-friendly flows, and component-based design system built in Figma with interactive prototypes.

Highlights

  • Simple and intuitive layout
  • Clear information hierarchy
  • User-friendly flows
  • Component-based design
  • Mobile-first thinking
  • Interactive prototype

Tech Stack

FigmaUI DesignUX ResearchPrototyping
TradingView Automation - AI-Powered Workflow
🤖

Automated TradingView Posting

n8n + AI Agents Automation

An end-to-end automation system that selects trading ideas, analyzes them using Google Gemini AI, and prepares TradingView posts automatically. Handles real-world platform limitations with sophisticated workflow orchestration, browser automation, and AI-powered analysis.

Highlights

  • Random trading idea selection from Google Drive
  • AI-powered analysis with Google Gemini
  • Structured JSON data extraction
  • Playwright browser automation
  • Rate-limit safe sequential processing
  • Production-ready automation design

Tech Stack

n8nGoogle GeminiPlaywrightNode.jsGoogle DriveTradingView
Just Divide - Educational Puzzle Game
🎮

Just Divide

Educational Puzzle Game

An interactive educational puzzle game built with Phaser 3 that helps children improve logical thinking and arithmetic skills. Features drag-and-drop gameplay mechanics, responsive design for mobile and desktop, and engaging grid-based puzzle logic.

Highlights

  • Grid-based arithmetic puzzle gameplay
  • Drag-and-drop interactions
  • Strategic keep slot for planning
  • Limited trash mechanic for risk management
  • Responsive mobile and desktop design
  • Live playable web app on Vercel

Tech Stack

Phaser 3JavaScript ES6HTML5 CanvasCSS3Vercel
Speech Segmentation Tool - Audio Processing
🎙️

Speech Segmentation Tool

Python Audio Processing

A production-ready Python-based tool that automatically detects spoken parts in audio files, segments them into individual clips, and generates structured metadata. Features robust error handling, silence-detection algorithms, and clean modular code design.

Highlights

  • Accurate speech segmentation using FFmpeg
  • Automatic audio clipping to WAV files
  • JSON metadata with timestamps
  • Robust error handling
  • Edge case handling for continuous audio
  • Clean modular production code

Tech Stack

PythonFFmpegJSONAudio ProcessingSubprocess
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🧠

UX Brainstorming Board

Design Research & Ideation

A comprehensive UX research and ideation board created in FigJam showcasing structured problem-solving, design thinking, and product planning. Demonstrates ideation methodology, user flow planning, feature prioritization, and early-stage wireframe thinking.

Highlights

  • Idea mapping and flow planning
  • User flow visualization
  • UX problem breakdown
  • Feature prioritization framework
  • Early-stage wireframe thinking
  • Structured design thinking process

Tech Stack

FigJamUX ResearchDesign ThinkingFigma

Ready to collaborate or have a project in mind?

I'm always open to new opportunities and challenges. Let's connect and build something amazing together.

Download My Resume

Get In Touch

Ready to collaborate on your next project? Let's connect and build something extraordinary together.