AI ML Demo

This demo will predict user's favourite Music & Will Buy inusrance or not by the age. Also it will show user's diet for the full day by hight, weight and age.

File Structure

├── prediction_master           # Music & Insurance csv file generation, model creation and model use functions
    ├── music                   # Music prediction master
        ├── csv_create          # Generate music training data
        ├── model_create        # Model creation with trained data
        ├── test_prediction     # Function for predict user's favourite music as per the age
        ├── model               # Trained model
        ├── music.csv           # Training data CSV
    ├── insurance               # Insurance prediction master
        ├── csv_create          # Generate insurance training data
        ├── model_create        # Model creation with trained data
        ├── test_prediction     # Function for predict user's favourite insurance as per the age
        ├── model               # Trained model
        ├── insurance.csv       # Training data CSV
├── prediction_setup            # Generated trained CSV and model for Music & Insurance
├── app                         # Python application
└── README.md

Python Version

3.12.4

Used Packages

random

pip install random Used for get random data from the list, range .... etc

csv

Used for generate CSV files with random data

pandas

pip install pandas Used for read CSV files

scikit-learn (sklearn)

pip install scikit-learn Used for train model and make it for predict

joblib

pip install joblib Used for create joblib file of the model for use directly

flask

pip install flask Framework used for frontend part

openai

pip install openai Used for get AI result of requested prompt

Available Scripts

In the project directory, you can run:

python prediction_setup.py

Prepare trained Music & Insurance model

python -m flask run

Runs the app in the development mode.
Open http://localhost:5000 to view it in your browser

Demo Screenshot