Projects
The project utilizes a web application that uses MediaPipe Pose model to extract body landmarks and classify yoga poses using the XGBoost classifier. The application provides a user-friendly interface for uploading images and getting real-time pose predictions.
Skills: Python, MediaPipe, XGBoost, Flask, OpenCV, jQuery
This project explores data augmentation techniques for machine learning datasets using OpenCV, TensorFlow, and imgaug. It covers fundamental and advanced augmentation functions to enhance dataset diversity and improve model performance.
Skills: Python, OpenCV
The solution utilizes CrewAI Flows to develop a Multi-Agent system that helps event planners automate venue research and generate customized outreach emails.
Skills: CrewAI, GPT-4, Serper
The project utilizes a customer dataset that includes spending data and churn labels to train an AutoML model, which is then deployed on Vertex AI for real-time churn prediction.
Skills: Python, VertexA AI, GCP
