Crystall Ball

Description

This interactive Web-based AutoML app can train machine learning models with minimum effort, allowing users to develop Machine Learning apps of their own quickly. It comes with an Interactive web-based dashboard it is easily accessible to all types of devices and also can be easily deployed in all environments enabling users to train machine learning models on the go.

Features

• Interactive Web Interface
• Simple and Intuitive Design
• Lightweight and easy to deploy
• On-the-go EDA for dataset
• Classification Trainer
• Regression Trainer
• Pre-built demonstrations

Tech Used

How to run

• Recommended to use Python 3.10.11
• Use a clean virtual env to avoid dependency clash

Clone the repository

git clone https://github.com/Aarya-Chauhan/Crystall_Ball/

Open the project directory in your desired Python development environment and install the dependencies

pip install -r requirements.txt

Now, run the app

streamlit run app.py