Machine Learning as a Service for HEP

Seatbelt detection using YOLOv5 ML model

SugarSense : The Diabetes Prediction Application

A Machine Learning model created using prebuild model. We need to feed the images to the model and it will predict if the same person is there else it will mark as unknown.

Animal Classification: A CNN-based image recognition model.

Video-based surgical skill assessment using 3D convolutional neural networks

DALL·E Mini - Generate images from a text prompt

Building a simple, not-so cool ML Model - Polynomial Fitting

summer-search is a Python package that provides a simple interface for searching the web, extracting relevant content, and generating a summary based on the extracted information

Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.

This is a vegetable sales prediction ML Model. This system is part of Online Crop Management And Forecasting System for Farmers and Agro Business Industry.

Heart attack risk prediction using machine learning (Random Forest Model)

Car make and model classification with YOLOv3 object detector:- Python

In this project I have created an end to end diabetes prediction application using streamlit.

A Software for Cabs which comprises most innovative ideas to provide a best-personalized user experience.

Developed an ML model for an e-commerce website to recommend products.