The Fifth Driver is a project for the Adaptative Computing Developer Contest for Xilinx. We pretend to demonstrate that the Xilinx Ultrascale+ MPSoC architecture is suitable for developing machine learning applications applied to Autonomous Driving.
Cloud-Based Animal Type Classification (ATC) Pipeline! I’ve been building an end-to-end cloud pipeline in Python that can: Detect animals and extract detailed keypoints using Detectron2 (Mask R-CNN + Keypoints) Estimate depth with MiDaS, even without ArUco markers Compute body measurements and scores with a rule-based ATC scoring system (0-100)
Used a basic Multiple Linear Regression Model using 'sklearn' to predict Likelihood of getting an Admission based on the Kaggle Admissions Data
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