This project trains a machine learning model to recognize digits using Tensorflow Library and then it creates a web based GUI to show the Predictions from that model the predictions will be in real-time

Hand Written Digit-recognizer build with Tensorflow and Numpy. The interface for this module is built with Gradio.

Churn predict interface with Random Forest, from: https://www.kaggle.com/blastchar/telco-customer-churn

In order to discover deep learning (CNN from scratch and transfer learning), I have to build a CNN, which can predict a dog breed from an image.

Object detection for dog breeds images.

This is a repository used by Gradio in order to depploy my application for dog breeds classification.

An app to apply filters to images to change the look and feel using opencv and convolution concepts.

This Python application is based on Hand Written Digits. Tensorflow and Gradio were used as the key requirements for coding. TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. Gradio allows you to quickly …

Create your own Spotify recommendation tool

Landmark Detection (Google Lens like Interface) using TensorFlow Hub & Gradio

Demo for Bahasa Malaysia NLP models made available at https://huggingface.co/malay-huggingface/