Developed and programmed an Arduino-based system to detect gas leakage using a sensor and implemented an API to send SMS notifications to users with real-time gas level information.Integrated a gas sensor MQ-5 to accurately detect gas leakage.Developed the source code to process sensor data and trigger appropriate actions.Utilized an API to send SMS notifications to users.Implemented functionality to include real-time gas level information in the SMS notifications.Ensured reliable and timely delivery of notifications to enhance user safety.

Cntraal.com is a Customer Engagement Platform that provides a Cloud Multichannel contact center services and targeting SMB companies with low-cost subscription plans. The Portal implemented using .Net Core MVC 6.0 and MySQL 10. During the project, I did the following tasks:Designed and managed MySQL databases, ensuring scalability and performance.Implemented CRUD operations using MySQL and SQL Server.Integrated RESTful APIs with a backend platform for seamless data exchange.Designed data schemas using MySQL Workbench and ER diagrams.Integrated PayPal payment gateway for secure online transactions.Scheduled and automated tasks using cron job scheduling.

Developed a smart sunglasses prototype for visually impaired individuals using Raspberry Pi 4 and Python programming, incorporating text recognition, audio conversion, navigation, and language translation capabilities using Google APIs. Integrated the Raspberry Pi camera module for image capture and text recognition.Utilized OCR (Optical Character Recognition) techniques in Python with the Tesseract library to extract text from captured images.Implemented text-to-speech conversion in Python to convert extracted text into audible speech.Integrated headphones to provide users with audio feedback of the converted text.Utilized the Google Voice to Text API for accurate transcription of spoken words.Incorporated an ultrasonic sensor to measure the distance between the user and targeted text for improved accuracy.Developed a walking stick with built-in GPS and ultrasonic sensors for object detection and navigation.Integrated Google Translate API to enable language translation of the detected text.

Developed a smart sunglasses prototype for visually impaired individuals using Raspberry Pi 4 and Python programming, incorporating text recognition, audio conversion, navigation, and language translation capabilities using Google APIs. Integrated the Raspberry Pi camera module for image capture and text recognition.Utilized OCR (Optical Character Recognition) techniques in Python with the Tesseract library to extract text from captured images.Implemented text-to-speech conversion in Python to convert extracted text into audible speech.Integrated headphones to provide users with audio feedback of the converted text.Utilized the Google Voice to Text API for accurate transcription of spoken words.Incorporated an ultrasonic sensor to measure the distance between the user and targeted text for improved accuracy.Developed a walking stick with built-in GPS and ultrasonic sensors for object detection and navigation.Integrated Google Translate API to enable language translation of the detected text.

Extensive experience utilizing apt-get to install and configure a wide range of tools and software on Linux systems.Proficient in Ubuntu 16.04 and Debian 8.2, adept at working with their respective package management systems.Strong understanding of dependencies and package installation processes, ensuring smooth and error-free installations.Skilled in configuring tools to match specific requirements, customizing settings and preferences as needed.Capable of troubleshooting and resolving installation and configuration issues to ensure optimal performance.Continuously staying up to date with the latest tools and technologies, expanding knowledge and capabilities.