Machine Learning as a Service for HEP

Key word/wake word detection with espressif esp32s3

SugarSense : The Diabetes Prediction Application

EY Hackathon Project

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.

Comment Toxic Analyzer build on machine Learning algorithm (Random Forest) capable to analyze toxicity present in comment or any text with the accuracy of around 83%

Seatbelt detection using YOLOv5 ML model

This is an end-to-end ML project, which aims at developing a classification model for the problem of predicting credit card frauds using a given labeled dataset. The classifier used for this project is RandomForestClassifier. Deployed in Heroku.

A price predictor model that predicts the price of your old car, based on some required input fields.

With the help of this chatbot, users can communicate doubts regarding vaccine registration.

BioSim model with Conditional Variational Autoencoder

DALL·E Mini - Generate images from a text prompt

An image classification machine learning model that recognizes hot dogs.

This repository contains a LSTM model, Google Stock Price Predictor

Forecasting the crime in a city from OSN data

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

Tetuan City Electricity Consumption High-Frequency Time-Series Forecasting Using Arima, UCM, Machine Learning (Random Forest and k-NN), and Deep Learning (GRU Recurrent Neural Network) Models.

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

ML Model

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