Featured Work

Deep dive into my most impactful projects showcasing front-end development expertise and AI automation

Front-end Developer

ContentnCo

"Professional website for a post-production company"

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The Challenge

ContentnCo, a post-production company, needed a modern, visually stunning website to showcase their creative work, services, and portfolio to attract high-value clients in the media industry.

The Approach

Designed and developed a responsive, high-performance website using Next.js and React with smooth animations, optimized media galleries, and an intuitive user experience that reflects the company's creative excellence.

Tech Stack

Next.jsReactTypeScriptTailwindCSSFramer MotionVercel

Key Features

  • Modern, responsive design with pixel-perfect implementation
  • Smooth animations and transitions using Framer Motion
  • Optimized media galleries for showcasing portfolio work
  • Fast page load times with Next.js optimization
  • SEO-optimized architecture for better discoverability
  • Mobile-first approach ensuring great experience across devices
  • Contact forms and inquiry system integration

Results & Impact

  • Beautiful, professional website that showcases creative work
  • Improved client engagement and inquiry conversion
  • Fast loading times with 95+ Lighthouse performance score
  • Successfully deployed and live at contentnco.in
Founder/Lead Developer

Finversal

"AI-powered financial intelligence platform"

The Challenge

Investors and financial analysts struggle to process vast amounts of financial news and data to make informed decisions. Traditional tools lack intelligent automation and sentiment analysis.

The Approach

Built an AI-driven platform that aggregates financial news, performs sentiment analysis, maps data to specific sectors and stocks, and provides an intelligent chatbot for querying financial insights.

Tech Stack

Next.jsPythonOpenAI GPT-4N8NVector DatabaseFastAPITailwindCSS

Key Features

  • Automated news aggregation from multiple financial sources
  • AI-powered sentiment analysis pipeline for news articles
  • Intelligent sector and stock mapping using NLP
  • Conversational AI chatbot for financial queries
  • Real-time market data integration
  • Personalized portfolio insights and recommendations
  • N8N automation workflows for data processing

Results & Impact

  • Processing 1000+ news articles daily with 95% accuracy
  • Sentiment analysis improving investment decisions
  • AI chatbot answering complex financial queries in seconds
  • Growing user base of retail and institutional investors
Partner

Order Management System

"End-to-end order lifecycle automation for e-commerce"

The Challenge

A growing e-commerce business needed a robust system to manage orders from placement to delivery, with real-time inventory synchronization and automated shipping workflows.

The Approach

Designed and implemented a comprehensive order management platform with N8N automation workflows that handle order processing, inventory updates, and shipping notifications seamlessly.

Tech Stack

ReactNode.jsN8NPostgreSQLREST APIsWebhooks

Key Features

  • Real-time order tracking and status updates
  • Automated inventory synchronization across multiple warehouses
  • N8N workflows for shipping label generation and carrier integration
  • Automated email and SMS notifications at each order stage
  • Advanced analytics dashboard for order insights
  • Multi-user role management and permissions

Results & Impact

  • Reduced order processing time by 70%
  • Eliminated inventory discrepancies through automation
  • Increased customer satisfaction with real-time updates
  • Saved 15+ hours per week on manual operations
Developer

AI-based Proctoring System

"Real-time monitoring system for secure online examinations"

The Challenge

Educational institutions needed a robust solution to maintain exam integrity during online assessments. Traditional methods couldn't detect suspicious activities or ensure fairness in remote testing environments.

The Approach

Developed an intelligent proctoring system using computer vision and machine learning to monitor test-takers in real-time, detect anomalies, and flag suspicious behavior automatically.

Tech Stack

PythonOpenCVMachine LearningTensorFlowFace RecognitionReal-time Processing

Key Features

  • Real-time video processing and analysis using OpenCV
  • Advanced facial recognition for identity verification
  • Eye tracking algorithms to monitor attention and focus
  • Machine learning models for behavior analysis
  • Automated suspicious activity detection and flagging
  • Comprehensive reporting dashboard for administrators
  • Multi-user monitoring with scalable architecture

Results & Impact

  • Enhanced exam security and integrity
  • Reduced cheating incidents significantly
  • Real-time alerts for suspicious activities
  • Successfully deployed for multiple online examinations
Full-stack Developer

Medicine Recommendation System

"Cross-platform mobile app for personalized medicine recommendations"

The Challenge

Patients often struggle to find appropriate medicines based on their symptoms and medical history. Healthcare providers needed an intelligent system to assist with safe medication recommendations.

The Approach

Built a comprehensive mobile application with Flutter for cross-platform compatibility, Django for backend logic, and MongoDB for efficient data management, creating a seamless recommendation engine.

Tech Stack

FlutterDjangoMongoDBPythonREST APIsMobile Development

Key Features

  • Cross-platform mobile app with responsive UI (Flutter)
  • Intelligent recommendation engine based on symptoms
  • User profile management with medical history tracking
  • Secure backend API with Django REST framework
  • MongoDB database for efficient data retrieval
  • Drug interaction checking and safety warnings
  • Search and filter functionality for medicines

Results & Impact

  • Seamless user experience across iOS and Android
  • Fast and accurate medicine recommendations
  • Improved medication safety through interaction checks
  • Positive user feedback on app usability
Backend Developer

E-Notes using Java and MySQL

"Comprehensive note-taking system with secure authentication"

The Challenge

Users needed a reliable and secure platform to create, store, and manage digital notes with proper access control and data persistence.

The Approach

Developed a robust note management system using Java and MySQL, implementing RESTful APIs for seamless CRUD operations and secure user authentication with role-based access control.

Tech Stack

JavaMySQLJDBCREST APIsAuthenticationDatabase Design

Key Features

  • Comprehensive MySQL database schema for notes and users
  • CRUD operations using SQL queries and JDBC
  • RESTful API architecture for note management
  • Secure user authentication system
  • Role-based access control for data protection
  • Efficient data retrieval and storage mechanisms
  • User authorization to restrict unauthorized access

Results & Impact

  • Secure and reliable note storage system
  • Fast data retrieval with optimized queries
  • Protected user data with authentication
  • Scalable architecture for future enhancements