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
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