Smart Dataset Upload
Upload tabular datasets and let ApherAI guide the user through validation, cleaning, type checking, and dataset readiness.
ApherAI helps users move from raw tabular data to trained, evaluated, explainable, and exportable machine learning results through one guided and usable workflow.
Live Workflow
Rows, columns, types and preview are detected.
Warnings and suggestions are shown clearly.
Multiple classifiers are compared by key metrics.
SHAP, LIME, PIA and DiCE explain the model.
Core Capabilities
The interface is designed to keep advanced machine learning steps understandable, flexible, and easy to follow from beginning to end.
Upload tabular datasets and let ApherAI guide the user through validation, cleaning, type checking, and dataset readiness.
Handle missing values using numerical and categorical strategies, with clear previews and user-friendly workflow decisions.
Support general and per-model feature selection with ranking, manual selection, Auto-K workflows, and flexible configuration.
Train and compare multiple ML models using accuracy, precision, recall, F1-score, AUC, confusion matrices, and diagnostics.
Explain model behavior using PIA, SHAP, LIME, and DiCE to make predictions more transparent and understandable.
Generate professional workflow reports and export results so the full ML process can be reviewed, shared, and documented.
Application Demo
This section displays the project video directly from YouTube, so visitors can understand the application without leaving the page.
Project Team
Replace the placeholder names and photos with the real team information before publishing the page.

Team Member
Software Engineering

Team Member
Software Engineering

Team Member
Software Engineering

Team Member
Software Engineering

Supervisor
Project Supervisor

Assistant
Project Assistant
Get the complete ApherAI project files through the download button below.