Cloud Resume Challenge
Description:
Developed and deployed a secure, high-performance static resume website using AWS and modern web technologies. The project included designing a user-friendly static page with HTML, CSS, and JavaScript, hosted on AWS S3 and delivered via AWS CloudFront for improved page load speeds. Configured HTTPS and applied Cloudflare for custom domain registration and enhanced security features. Integrated a dynamic visitor counter utilizing AWS Lambda for backend processing and AWS DynamoDB for data storage. Automated infrastructure provisioning using Terraform and implemented a CI/CD pipeline with GitHub Actions, reducing deployment time from hours to minutes.
Technologies Used:
HTML, CSS, JavaScript, AWS Lambda, AWS DynamoDB, AWS Cloudfront, Custom DNS (Cloudflare), AWS S3, AWS Certificate Manager, AWS CloudWatch, GitHub, GitHub Actions
Live Cricket Score Website
Description:
Developed a real-time cricket score application using Python, Flask, and the Cricbuzz API to fetch live cricket data. The application was containerized using Docker and deployed to Google Kubernetes Engine (GKE). Automated CI/CD pipeline was implemented with GitHub and Google Cloud Build for seamless deployment. The project focuses on backend development, cloud deployment, and continuous integration.
Technologies Used:
HTML, CSS, Python, Flask, Docker, Kubernetes, Crickbuzz API, Docker, Kubernetes (GKE), GitHub, Google Cloud Build
IOT Air Quality Guardian
Description:
Integrated air quality sensors (MQ-135, MQ-7, MQ-2, DHT-11) with ESP32 microcontroller to collect real-time data on pollutants such as CO2, NH3, and particulate matter.
Transmitted sensor data to Arduino Cloud and Ubidots for remote monitoring and visualization.
Integrated AWS IoT Core for secure cloud-based data storage and scalable management, ensuring reliable long-term data storage and analytics. Enabled mobile notifications and email alerts using AWS SNS, keeping users informed about air conditions.
Created real-time dashboards and alerts to notify users when pollution levels exceed safety thresholds
Technologies Used:
Python, Arduino (ESP32), Air Quality Sensors (MQ-135, MQ-7, MQ-2, DHT-11), Ubidots, AWS IoT Core, AWS SNS