Dashboard for Predictive AI- Regression and classification models

A unified dashboard for data scientists to manage tasks such as data preprocessing, feature engineering, and hyperparameter tuning for creating and fine-tuning machine learning and deep learning models. This innovative tool would revolutionize workflows by minimizing the need to switch between different tools, thereby helping to identify the best-fit models more efficiently.

This dashboard integrates creative AI, allowing users to utilize the application as a chatbot for generating information. It employs a stable LLM and integrates relevant data for training, testing, and validation.

Such a dashboard would combine various models and tools, providing a single interface for exploratory data analysis (EDA), model training, and prediction. This would not only enhance productivity but also improve collaboration among data scientists.

The dashboard, built using React, Django (Python), and PostgreSQL, would seamlessly integrate AI models and feature:

Easy deployment of regression and classification models.
Provision of training, validation, and test data.
Model integration with booting technology.
User-defined hyperparameter tuning.
Exploratory Data Analysis (EDA) for images, numerical, and categorical data.
User-friendly predictive AI features.
Creative AI, including provisions for a chatbot to interact with Rally test management data.
PDF comparison, enabling users to upload and visually compare large PDF files.
Image comparison, allowing users to compare two images and identify differences.