ClassifyAI
November 2022 - February 2023
Description: The application provides a user-friendly interface for creating models for image classification without the need for coding or deep learning expertise. Key achievements of the application include its ease of use and accessibility for users of all skill levels. The application has a responsive design, which enables it to be accessed via mobile phones as well.
The process of creating a model for image classification using the ClassifyAI web-based application involves four key steps:
1. Class Creation and Data Collection
2. Setting Parameters for Training and Data Augmentation
3. Training and Evaluation
4. Prediction using the Trained Model
The application utilizes several javascript-based libraries, including React for the frontend, TensorFlow.js for the machine learning, p5.js for image processing, ApexCharts.js for data visualization, and AntDesign for the UI.
Type of project: Independent Coursework Project
React.js
Tensorflow.js
p5.js
Ant Design
ApexCharts.js