Profile

Things I've Built

A collection of projects I've worked on, from AI platforms to machine learning models. Each project taught me something new about building production-ready systems.

English Express AI

English Express AI

AI-Powered Language Learning

Solo Developer

AI-powered English learning platform with WhatsApp chatbot integration, featuring structured curriculum and real-time voice interactions. Developed conversational AI using OpenAI and Agora for immersive learning experience.

OpenAIAgoraWhatsApp APISTT/TTSNext.jsDjangoAWS
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English Express AI screenshot 1

Key Highlights

  • Conversational AI with natural language understanding
  • Real-time voice interactions using Agora
  • WhatsApp integration for accessibility
  • Structured curriculum with progress tracking
  • Over 1.5 years of development and iterations
Krish Naik Portfolio

Krish Naik Portfolio

Professional Portfolio Website

Solo Developer

Complete website development for renowned AI educator Krish Naik. Full-stack implementation with modern design, optimized performance, and seamless user experience. Built with focus on content presentation and engagement.

Next.jsDjangoSEO
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Krish Naik Portfolio screenshot 1
Krish Naik Portfolio screenshot 2

Key Highlights

  • Modern, responsive design
  • SEO optimized for better reach
  • Fast loading with performance optimization
  • Content management system integration

Laptop Price Predictor

End-to-End ML Project

Solo Developer

Machine learning model for laptop price prediction using regression algorithms and comprehensive feature engineering. Complete end-to-end ML project with CI/CD pipeline, AWS deployment, and Flask API server.

PythonScikit-learnFlaskAWSCI/CDGitHub Actions
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Laptop Price Predictor screenshot 1
Laptop Price Predictor screenshot 2
Laptop Price Predictor screenshot 3

Key Highlights

  • Comprehensive feature engineering and data preprocessing
  • Multiple regression algorithms comparison
  • RESTful API with Flask
  • Automated CI/CD pipeline with GitHub Actions
  • AWS deployment with Docker containerization
  • Model monitoring and logging