Flight Price prediction management system
I Anurag Jha and I created this project as my school project and also as i want to do something different from all other. Learned about pandas, numpy, Flask, pickle, seaborn, sklearn and matplot for this project. I use all the respective library for this project.
First i created a datasheet in excel as csv file so that the program can fetch data from csv file and use it for the predictation the price of the flight. contains all the detail of flight and it timings and its routues.
coded the ipynb file in vscode where i use sklearn, seaborn and multiple other library for this project. Uses this as the backend part of my project.
than created different html templates for different layout for all the functions of the program. Create airline database in mysql for storing and fetching datas for login and register purpose. contains differnt images for the layout and design of the project. created main.py file and write all the frontend code in it. Created login, register, profile, etc codes. Make link between the backend codes and templates in this py file.
recomemder to use pycharm to start and run this file.