It is a website that utilize machine learning model to predict the probability of getting placed and salary.

Slides for ML deployment and MLOps

An end-to-end ML model deployment pipeline on GCP: train in Cloud Shell, containerize with Docker, push to Artifact Registry, deploy on GKE, and build a basic frontend to interact through exposed endpoints. This showcases the benefits of containerized deployments, centralized image management, and automated orchestration using GCP tools.

This Flask web application performs text sentiment analysis and text generation based on user input. Users can input text, and the application will analyze its sentiment using NLTK's Vader sentiment analysis tool and generate additional text using the GPT-2 model.

We will apply deep learning techniques for the classification of the free-spoken-digit-dataset, akin to an audio version of MNIST.

Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.

Identifying Patterns and Trends in Campus Placement Data using Machine Learning

A web app to showcase some of my favorite projects

Powerful AutoML toolkit

Base classes and utilities that are useful for deploying ML models.

An end-to-end Machine Learning project from writing a Jupyter notebook to check the viability of the solution, to breaking down the same into modular code, creating a Flask web app integrated with a HTML template to make a website interface, and deploying on AWS and Azure.

Simply Automate Monitoring Infrastructure with Terraform, Ansible, AWS EC2, Nginx, Prometheus, Grafana and Github Actions 😄

This repo shows how to implement a simple image generation app that uses Jax-Implementation of a conditional VAE, Jax, fastapi, docker, streamlit, heroku, ec2, and cloudflare 😃

Pushing Text To Speech models into production using torchserve, kubernetes and react web app 😄

Terraform code, aws scripts and pipeline templates for the AWS-IaC-mlops-pipeline.

An end-to-end ML project, which aims at developing a regression model for the problem of predicting the sales of a given product, based on its properties like item category, weight, visibility, MRP, type of outlet the product is sold, size of the outlet etc.

Ensemble Learning | Flask

The goal of this project is to build a data driven model that finds the customer groups that lead to good ROIs (Return on Investment).

Management Dashboard for Torchserve

Demonstration of building a machine learning model and deploying it on a web app.