AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.

This Repo Contains Deployment of Machine Learning Models on various cloud services like Azure, Heroku, AWS,GCP etc

This project shows the demos about how to generate stable diffusion images using AWS SageMaker Jumpstat.

This project deploys a mobile web app, that uses a machine learning model you train, to detect activities you're doing.

Generative AI app using Stable Diffusion and AWS SageMaker, with AWS API Gateway integration and a React front-end for web/mobile. Demonstrates dynamic AI content generation.

Fraud Detection utilizing AWS for Unissant

Your personal assistant at work

It shows how to make a chabot based on Falcon foundation model using SageMaker JumpStart

AWS website that displays numerical data, predictions about the numerical data (of cryptocurrency) and the results of sentiment analysis.

Demo to run the MNIST handwritten digit model on a locally running SageMaker endpoint

It prepares the demo of emotion garden.

This repo will show how a ML model can be exposed as an API and integrated with a custom open source website having a custom open source chat bot using botkit.You can use any kind of website and chatbot. The idea is that the Front end (chatbot in this case) will make http calls to a REST API for a Machine learning Model predicting classification