Google Agentic AI Engineering | Project I

Simulate a world where a robot chases a defined target

MATLAB project demonstrating Radar Target Generation and Detection

Create a simulation world in Gazebo

Multi-Agent Reinforcement Learning (MARL)

Engineering a collision detection system

Deep reinforcement learning implementations for solving continuous environments

Deep Reinforcement Learning for solving discrete environments

Real-time LIDAR obstacle detection

The Recipe for Generating Intelligent, Self-Sustaining Multiverses

Localizing a robot in a 2D grid world by implementing SLAM (Simultaneous Localization And Mapping)

Designing a CNN-RNN model for automatically generating image captions

Training a CNN to perform facial keypoint detection using computer vision techniques

Training Deep Convolutional Generative Adversarial Network (DCGAN) to generate new images of faces

Deep learning for classifying landmarks using computer vision techniques

Analyze the sentiment of movie reviews in three different languages - English, French, and Spanish.

CNN models for classifying the fashion MNIST data

99% accurate CNN for MNIST handwritten digits