Hello I'm,

Arjay


Ambitious student with strong problem-solving and programming skills in various languages, having a good foundational knowledge in artificial intelligence, particularly focused on machine learning.


About Me Image

About Me


I have strong expertise in Machine Learning, Image Processing, and Full Stack Development, with hands-on experience in Java server-side programming, database management, and efficient query writing. I've worked with AWS services including SageMaker, S3, IAM, Amplify, and CloudWatch. Skilled in Backend development, OOP, and design documentation, I also bring strong communication and teamwork skills to collaborative environments.

Skills

  • Programming

    CC++JavaJavaScriptPython

  • Web

    Next.jsReactNode.jsHTMLCSSJSONXML

  • Cloud

    AWS

  • Database

    MongoDBMySQLPostgreSQL

My Projects

  • SPARk Movie Review Web App
    HTMLCSSJavaScriptMongoDBRest API
    SPARk Movie Review Web App

    Movie review website designed to provide users with a comprehensive database of movie details. Users can log in to rate movies and write comments about them. The website also features filtering options, allowing users to search for movies based on their ratings. The entire application is deployed on Vercel.

  • Automatic Inscription Converter
    PythonKerasOptical Character RecognitionNatural Language Processing
    Automatic Inscription Converter

    A Tamil inscription converter that preprocesses, segments, and analyzes inscriptions using a machine learning model to generate readable Tamil text, enabling easier interpretation and preservation of historical documents

  • Disaster-Information Aggregation-Software
    HTMLCSSFlaskBeautiful SoupMongoDBRest API
    Disaster-Information Aggregation-Software

    A Web Application which collects information from various sources(socialmedia, newsletters, open sources) about natural disaster in real time and presents the collected information in a visually convenient way on the website. It also features an interactive real-time disaster map that displays the locations and severity of disasters.

  • Integrating VLM for Enhanced Geospatial Analysis (Conference Paper)
    PythonVLMDeep LearningNatural Language ProcessingComputer VisionImage Captioning
    Integrating VLM for Enhanced Geospatial Analysis (Conference Paper)

    Designed an image retrieval system using a CLIP-based model to better match images with relevant text.Improved accuracy by enhancing how image and text features are aligned.Tested on the RSICD dataset, achieving a 0.9998 similarity score and outperforming standard models in key metrics.

  • Land Cover Classification and Segmentation
    PythonDeep LearningImage ProcessingComputer VisionOpenCVCNNImage Segmentation
    Land Cover Classification and Segmentation

    Developed a land cover classification system using a U-Net model on high-resolution satellite imagery from the Bhuvan dataset.Classified five land types : vegetation, urban, forest, water, and roads.

Let's Connect

If you have any questions, suggestions, or just want to say hello, feel free to reach out to me via email. I would love to hear from you!

Github IconLinkedIn IconEmail Icon

Contact Information

Arjay J.G

Email: arjayjg1311@gmail.com