Plant Recognition and Gardening Support System
Summary
Tools: Python, FastAPI, ML, YOLOv8, Docker, AWS, REST
Dedicated Computer Science graduate with a strong foundation in software development, cloud technologies, and database management. Proficient in Java, Python, and AWS, with hands-on experience in developing scalable applications and API integrations. Eager to contribute to a dynamic team and apply my problem-solving skills in a collaborative environment.
Software Engineer Intern
Summary
With hands-on experience in Software development, within an R&D environment following Agile principles.
Highlights
Prototyped and deployed GitLab CE using Docker for internal CI/CD pipelines; contributed to DevOps research and infrastructure improvements.
Built backend APIs in Node.js/Express.js for login management systems, and developed PWAs using Electron for cross-platform support.
Executed manual and automated test cases that were developed using Playwright.
Developed responsive UIs using ReactJS and NextJS (Server Components); integrated Three.js for 3D Earth Globe visualization with external APIs.
Git, Docker, Postman, Hibernate, JPA, JDBC, Tailwind CSS.
HTML5, CSS3, JavaScript, React, NodeJs.
MySQL, PostgreSQL, H2.
GNU/Linux, AWS, CI/CD, SpringBoot.
Python, Java, SQL.
Summary
Tools: Python, FastAPI, ML, YOLOv8, Docker, AWS, REST
Summary
Tools: HTML, CSS, Bootstrap, PHP, SQL
Summary
Tools: Java, Spring Boot, Hibernate, H2, JPA, Git, Maven
Native
Proficient
Basic
Fluent
Published by
IJIRT
Summary
This project introduces an innovative solution designed to revolutionize plant identification and optimize growth conditions for both gardening and agricultural applications. By harnessing cutting-edge image recognition algorithms, our system accurately identifies a wide array of plant species while furnishing detailed insights including scientific nomenclature, common pests, and associated diseases. Furthermore, it delivers personalized recommendations tailored to individual growth needs, factoring in crucial environmental variables like temperature, humidity, and sunlight exposure. Through empowering users with bespoke guidance, our system endeavors to elevate crop success rates, drive agricultural efficiency, and champion sustainability in plant cultivation practices. This endeavor marks a significant stride in plant care technology, furnishing an indispensable tool for gardening enthusiasts and industry professionals alike to achieve thriving and bountiful plant growth. Cutting-edge technology, bespoke guidance, and sustainability lie at the heart of this transformative project.