This repository showcases a Convolutional Neural Network (CNN) module developed on Jupyter and an AutoML module implemented on Google Cloud Platform (GCP) through VertexAI
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Updated
Nov 20, 2023 - Jupyter Notebook
This repository showcases a Convolutional Neural Network (CNN) module developed on Jupyter and an AutoML module implemented on Google Cloud Platform (GCP) through VertexAI
There is frontend module of `speech-2-text` project based on `JavaScript` for testing backend.
"Explore GCP Training with labs and demos, guiding learners through practical exercises to master Google Cloud Platform skills.
An end to end Data Engineering Project
Summer of Code 2024
🛡️📃 PhoenixDOMString🚀📃SAMkenXEcosystem PMUXSystemQUMoLSIMCpythonSAMkenXCCorEngineAndroid
Is a little project with NextJS 14 and Firebase from server (firebase-admin). In this project I made a feature where You can create projects and little reviews, each review you can add text comments, image comments, audio comments.
This project is part of the University of Surrey's Master's degree course in Cloud Computing. It demonstrates how to deploy a Flask web application on various cloud platforms, including AWS Lambda, AWS EC2, and Google Cloud Platform (GCP). The repository includes configuration files and setup guides for seamless deployment across these services
Python ETL done with Dask to merge 1840 tables from BigQuery. Includes Python module class to query tables from BigQuery in Standard SQL and extract them as Pandas Dataframe.
Analyze the Chicago Crime Dataset using SQL queries in Google BigQuery to uncover insights and trends, supporting informed decision-making for law enforcement and community stakeholders.
I have built a Customer Complaint Analyzer which Seamlessly process and categorize consumer complaints across text, voice, images, and videos. This analyzer Harness the power of AI to streamline your customer service and improve satisfaction.
End to End MLOps with Berka Bank Dataset and VertexAI
This project demonstrates a comprehensive data engineering workflow using the Uber information dataset. It covers the full spectrum of data engineering pipelines, from data transformation to deployment on Google Cloud, with a focus on creating a scalable and insightful data model.
Gemini Quizzify is an AI-powered quiz application that generates custom quizzes from uploaded documents. Using Google's Vertex AI, it creates interactive quizzes based on specified topics, offering an innovative way to enhance learning and assessment through an easy-to-use Streamlit interface.
This project demonstrates the automated setup of a website hosted on Google Cloud Platform (GCP) using Terraform. The infrastructure is provisioned and configured through Terraform scripts, enabling easy replication and management of essential services.
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