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https://github.com/pullisanisatvika/railway-reservation-system-using-streamlit

This Python-powered Streamlit application simplifies and streamlines railway reservations for both passengers and administrators. Passengers can conveniently book tickets, choose seats, and pay securely (planned integration). Admins can manage trains, user roles (planned), and access reports (planned).
https://github.com/pullisanisatvika/railway-reservation-system-using-streamlit

python sqlite3 streamlit

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This Python-powered Streamlit application simplifies and streamlines railway reservations for both passengers and administrators. Passengers can conveniently book tickets, choose seats, and pay securely (planned integration). Admins can manage trains, user roles (planned), and access reports (planned).

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README 

        
# railway-reservation-system

#Author Pullisani Satvika



# Aim :

To create a user friendly Graphical User Interface (GUI) to ease the process of booking railway tickets, in contradictory to travel to the ticket counter and standing in long queues.



# Specs :

Used the python Tkinter library for creating and editing the GUI.

Connected a SQLite3 database to the portal so that the data is stored in the backend.

Created a user authentication feature that asks for the username and password. (In the code there are three names that can be used as the username and the password for the same is "844")

If the credentials are verified correctly, the GUI will popup a successfull login message.

The user is asked for his desired source and destination of travel. Incorporated the date of travel calender validation. The user is also asked for the class of ticket he is comfortable with. eg: 1A, 2A, 3A.

Based on the above parameters, a list of trains is shown.

After selecting the desired the train, the user has to enter the details like name, age, ID proof, gender.

The user can then book the ticket. The data is stored in the database.

A successful receipt showing all the details correctly is displayed on the screen.

SQL queries are used to fetch the user data from the database.

Every ticket contains a PNR number which is obtained using random library. User can delete any ticket by adding his PNR number in the cancellation section.

Cancelling the ticket will delete the entry from the database.



# Features of the Railway Reservation System Using Streamlit Project

-Railway Reservation have user registration and login.

-Train Search and Availability.

-Add Trains and delete trains

-Cancel Tickets 

-Booking and cancelling tickets.



# Software Requirement to run this project

-You Need To Install Pycharm IDE or VSCODE 

-You Need To have Github Account To host application

-You Need To have Python 3.9 or above version



# Technologies:

Python (backend)

Streamlit (front-end)

SQLite3 (database)



# Tools and Technologies to be used in this project

-Use VSCODE To Run Application.

-Create Account In Github and Streamlit Account.

-Database is SQLITE (no need to install software)



# How To Import And Run The Project?

-First Install VSCODE OR PYCHARM

-EXTRACT ALL THE FILES INSIDE THE RAR.

-DATABASE AND MAIN.PY INSIDE THE RAR AND OPEN THE VSCODE

-RUN PROJECT IN TERMINAL

-TYPE THE CODE(streamlit run main.py)

-Local host will be generated for output.

-IF YOU WANT HOST USE STREAMLIT WEBSITE.



# How To Import Database?

-DATABASE WILL BE SQLITE.

-NO NEED TO INSTALL ANY SOFTWARE.

-EXTRACT AND RUN.



# IMPLEMENTATION

# Database:

 SQLite3:

 A lightweight, file-based database used to store and manage railway data.

 Tables:

trains: Stores train information (number, name, departure date, destinations).

seats_: Created for each train to manage seat details (number, type, booking status, passenger info).

users: Likely intended for storing user login credentials (not fully implemented in the provided code).

employees: Intended for employee records (designation, etc., not fully implemented).



# Software:

 Python: The primary programming language used to write the code.

 Streamlit: A Python library for building interactive web applications. It creates the user interface for the railway system.

 Pandas: A Python library for data analysis and manipulation. It's used to create and display dataframes in the application.



# Code Structure and Functionality:

    Import necessary libraries:

       import streamlit as st

       import sqlite3

       import pandas as pd



# Database connection:

conn = sqlite3.connect('railway_system.db')

c = conn.cursor()



# Functions for database operations:

create_DB_if_Not_available(): Creates tables if they don't exist.

add_train(): Adds a new train to the database.

delete_train(): Deletes a train and its corresponding seat table.

create_seat_table(): Creates a seat table for a train.

categorize_seat(): Categorizes a seat as Window, Aisle, or Middle.

allocate_next_available_seat(): Finds the next available seat of a specified type.

book_ticket(): Books a ticket by updating seat details and passenger information.

cancel_tickets(): Cancels a ticket by marking the seat as unbooked.

search_train_by_train_number(): Searches for a train by its number.

search_trains_by_destinations(): Searches for trains based on starting and ending destinations.

view_seats(): Displays seat availability for a train.



# Train functions (using Streamlit):

train_functions(): Main function that handles user interactions and calls database functions to perform actions like:

Adding a new train

Viewing all trains

Searching for trains

Deleting a train

Booking a ticket

Canceling a ticket

Viewing seat availability

Closing the database connection:



conn.close()



# Future Development:

Implement user authentication and roles.

Integrate secure payment gateways.

Develop advanced search functionalities.

Enhance UI/UX for a polished experience.

Generate comprehensive reports for admins.



Contributing:

We welcome contributions! Please refer to the CONTRIBUTING.md file for guidelines.



Disclaimer:

This project is currently under development and may not be fully functional. It is intended for demonstration and educational purposes only.