rAI Tutorial
This step-by-step tutorial will show you how to train accurate models with your own data and get accustomed to the features unique to rAI-Q. These features streamline and automate the tasks that made traditional spectral analysis complex and time-consuming. We hope this guide reveals the ease and power of rAI-Q, making it your trusted assistant on your spectral analysis journey.
01
Login
Login
Create an account and login to the main page.
Create an account and login to the main page.
02
New project
New project
Upload your data to create a Project.
Upload your data to create a Project.
03
Data Parsing
Data Parsing
Your data will be automatically parsed with our algorithms.
Your data will be automatically parsed with our algorithms.
04
Data
Data
You may modify your data settings in the Data step.
You may modify your data settings in the Data step.
05
Preprocessing (Manual)
Preprocessing (Manual)
Try manually preprocessing in the Manual
Selection tab of the Preprocessing step.
Try manually preprocessing in the Manual
Selection tab of the Preprocessing step.
06
Preprocessing (AI Optimization)
Preprocessing (AI Optimization)
Or, try out our AI optimization within the AI Selection tab of the Preprocessing step.
Or, try out our AI optimization within the AI Selection tab of the Preprocessing step.
07
Preprocessing (AI + Manual)
Preprocessing (AI + Manual)
Not satisfied with the AI suggestions?
You may modify them to your liking as well.
Not satisfied with the AI suggestions?
You may modify them to your liking as well.
08
Modeling
Modeling
Create a model to build your own predictor
that maps the data onto your labels.
Create a model to build your own predictor
that maps the data onto your labels.
09
Auto-Correction
Auto-Correction
After modeling, we provide you an Auto-correction step that may enhance
your model by analyzing your modeling results and identifying potential outliers.
After modeling, we provide you an Auto-correction step that may enhance
your model by analyzing your modeling results and identifying potential outliers.
10
Saving a Pipeline
Saving a Pipeline
Once finished, save or load your Pipeline.
Once finished, save or load your Pipeline.
11
Prediction
Prediction
You may use the saved Pipelines to predict the target labels with new data.
You may use the saved Pipelines to predict the target labels with new data.
12
Project Saving + Report Generation
Project Saving + Report Generation
Save your project and automatically generate reports for each pipeline.
Save your project and automatically generate reports for each pipeline.
13
Report Contents
Report Contents
Our reports provide a detailed summary of your pipeline,
including an audit trail of the actions you made to build it.
Our reports provide a detailed summary of your pipeline, including an audit trail of the actions you made to build it.

For more details,
please refer to our User Guide.
For more details,
please refer to our User Guide.
For more details,
please refer to our User Guide.

