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2025
Image Analyser AWS Rekognition
Collects images from public Google Drive folder and uses AWS Rekognition to analyse the images and also compress them to store in S3 bucket.
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TypeScriptAWSRekognitionS3+1
Artifacts
A collection of AI/ML experiments, web applications, and tools. Built with passion and purpose.
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A CI/CD and CLI tool that performs chaos engineering tests on websites. Uses LangGraph and LLMs to simulate real-world chaos scenarios and analyze how applications respond under stress.
YOLO model that detects Web UI elements like buttons, input fields, checkboxes, and other components in screenshots.
A beginner-friendly ML platform where users describe problems in natural language. The system automatically finds suitable datasets from Kaggle, selects and trains ML models locally, then generates comprehensive reports explaining the entire process.
Generates handwritten letters and digits using a GAN (Generative Adversarial Network) trained on the EMNIST dataset.
A CNN-based model that classifies hand gestures from images. Recognizes various gestures for potential use in sign language interpretation.
A Machine Learning model for recognizing handwritten digits using CNNs. Built as part of GDGC GITAM AI/ML Team project.
A gamified learning platform with multi-level challenges where players interact with ML models like stock predictors. Features riddles, information cards, and progressive difficulty across stages.