🤖🔒 Fully-featured Discord bot with music, polls, memes and moderation.

Terraform code to instantiate a Cloud Run V2 connected to a Postgres Cloud SQL, on which the pgvector extension will be enabled, with a connection to Redis and continuous deployment through the automatic trigger of Cloud Build.

A Discord Bot to provision GCP Compute Engine instance. 🤖

☕ SAP on Google Cloud Platform Boilerplate

The repository contains the California House Prices Prediction Project implemented with Machine Learning. The app was deployed on the Flask server, implemented End-to-End by developing a front end to consume the Machine Learning model, and deployed in Azure, Google Cloud Platform, and Heroku. Refer to README.md for demo and application link

Sample flask app for demonstrating the continuous deployment to Google compute instances using GitHub workflows

Ingress alerts for the Pi Mask Detection project. Read records from a Kafka topic and persist them to a PostgreSQL database.

BIAS Autoscaler leverages burstable instances for scaling Google Computer Engines

Simple app to play around with RabbitMQ and gRPC based microservices

Build secure, scalable, lightweight, and hardened OS/machine images for cloud and on-premise hypervisors using Packer.

Google Drive Access using Python, Interact Programmatically and Manipulate accordingly

Peace of Mind - BrainStation Capstone Project

DogBreedSpotter is a Python-based image classification project designed to identify and classify dog breeds in images. This project utilizes deep learning models, including convolutional neural networks (CNNs) such as VGG, AlexNet, and ResNet, to accurately detect whether an image contains a dog and, if so, determine the breed.

Playing Flappy Bird based on Deep Q Network (DQN) and Dueling DQN

Springboot Backend Codes for 'All Ears'