Guide to setup object detection and classification module in Android for running real-time predictions.

A classification done using Artificial Neural Networks, using Tensorflow.

This project centers around two primary aspects: the development of a model for the recognition of American Sign Language (ASL) gestures utilizing a dataset, and the real-time prediction of gestures via a camera feed, accompanied by the conversion of these predictions into spoken language.

This advanced forecasting tool leverages Long Short-Term Memory (LSTM) networks to predict daily sales for 91 types of pizzas and the required quantities of 64 ingredients. By analyzing historical pizza order data, the system provides accurate future demand forecasts, enabling optimized inventory management and purchase planning.

American Sign Language recognition using several machine learning models and comparing model performances to Convolutional Neural Network

Hosting tensorflow keras model using FastAPI. Provide users to upload their own images and call the model to make real time prediction.

This repository contains the coding materials to reproduce the learning error curves of the paper "How Does Data Freshness Affect Real-time Supervised Learning ?".

Build a production ready Machine Learning service for real-time prediction using FastAPI