Predictos

Predict your potential networth using Ai

So I have been playing those fun Facebook games for a while where they say you'll get married in this year or you'll have this many kids or this much money bla bla. But noboady gives you the reason why? I think these are pretty random. So thought of building a fun game using Machine Learning, and provide some Data Driven results.

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Approach :

• I have collected data of richest persons in 100+ different fields from more than 100 countries. I have used BeautifulSoup to scrape therichest.com.
• After collecting the data done some data cleaning and feature engineering on raw data.
• Fitted multiple regression model and used hyper parameter tuning to get the best result.
• Saved the model in a .pkl file and.
• Later used the same model in the flask app and for frontend used HTML, CSS and Bootstrap.
• Deployed the whole project on ``Herokuand usedGoogle Analytics` for tracking users.

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How to run?

To run the app you need to download this repository along with the required libraries. and you have to the app.py file.

after running app.py open http://127.0.0.1:5000

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Document Structure

Personal Finance 
│
|---- Data
|   |-- preprocessed_df.csv
|   |-- Rich.csv
|
|---- results
|   |-- desktop_home.png
|   |-- desktop_prediction.png
|   |-- mobile_home.png
|   |-- mobile_prediction.png
|
|---- scraper 
|   |-- webscraper.py
|
|---- static 
|   |-- images
|   |
|
|   |-- styles
|   |   |-- index.css
|   |   |-- prediction.css
|   
|---- templates
|   |   |-- index.html
|   |   |-- layout.html
|   |   |-- prediction.html
|
|
|---- app.py
|---- LICENSE
|---- model_training.ipynb
|---- markdown.py
|---- random_forest_regression_model.pkl
|---- random_forest_regression_model.sav
|---- README.md
|---- requirements.txt

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Technologies used :

• python library - numpy, pandas, seaborn, matplotlib, flask, plotly, sklearn, joblib, bs4
• version control - git
• backend - flask
• concept - Machine Learning

Tools and Services :

• IDE - Vs code
• Application Deployment - local host
• Code Repository - GitHub

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If you Liked this project the you can consider connecting with me:

• LinkedIn

• You can find my other projects and EDAs on Kaggle