Flight Fare Prediction Project

Problem Statement:

In the modern world,travelling through flights has become an major part of today's lifestyle as most of the people don't want to waste their time on travelling so they opting flight even for short distance instead of train or bus.he flight ticket prices increase or decrease every now and then depending on various factors like timing of the flights, destination, and duration of flights various occasions such as vacations or festive season.Therefore this Project will help the ones who are planning for trip to save money and time.

Approach used

The main goal is to predict the fares of the flights based on different factors available in the dataset.

 
 Data Exploration     : I started exploring dataset using pandas,numpy,matplotlib and seaborn. 
 Data visualization   : Ploted graphs to get insights about dependend and independed variables. 
 Feature Engineering  :  Removed missing values and created new features as per insights.
 Model Selection I    :  1. Tested all base models to check the base accuracy.
                             2. Also ploted residual plot to check whether a model is a good fit or not.
 Model Selection II   :  Performed Hyperparameter tuning using gridsearchCV and randomizedSearchCV.
 Pickle File          :  Selected model as per best accuracy and created pickle file using joblib .
User Interface

Main Page


Main Page with filled information

Main Page After Predicting average Flight Fare

Data in Database

Technologies Used

 
1. Python 
2. Sklearn
3. Flask
4. Html
5. Css
6. Pandas, Numpy 
7. Database 


HLD , LLD & WireFrame

link : https://drive.google.com/drive/folders/1_DhdjzIO776um5f6qzeYBEsiP2DATLFe?usp=sharing
Help Me Improve

 Hello Reader if you find any bug please consider raising issue I will address them asap.
Contact

Siddhiraj Kolwankar
e-mail   : siddhirajkolwankar11@gmail.com
LinkedIn : Siddhiraj Kolwankar
Pankaj Jaiswal
e-mail   : pankajj112223333@gmail.com
LinkedIn : Pankaj jaiswal
Omkar Bhatuse
e-mail   : omkarbhatuse895@gmail.com
LinkedIn : Omkar Bhatuse