Online Loan management system project in Python Django

Buy Project Code ₹701

A loan management application built with Django, SQLite3, JavaScript, HTML, CSS, and Bootstrap 5. The system enables customers to request loans after registration, with admin approval. Customers can make monthly loan payments, and both customers and admins have dedicated dashboards.

Features

 

  1. User Registration: Customers must register before requesting loans.

  2. Loan Requests: Customers can request loans, pending admin approval.

  3. Admin Approval: Admins can approve or reject customer loan requests.

  4. Loan Payments: Customers can make monthly loan payments.

  5. Dashboards: Both customers and admins have access to dedicated dashboards.

Usage

 

  1. Register as a customer to request loans.
  2. Admins approve or reject loan requests in the admin dashboard.
  3. Customers can make monthly loan payments through the application.
  4. Both customers and admins have dashboards for efficient management.

Django Installation Steps :-

  1. Install Python 3.8
  2. Install all dependencies cmd -python -m pip install --user -r requirements.txt
  3. Finally run cmd - python manage.py runserver

 

Online Hotel Reservation System Project in Python Django

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Buy Project Code ₹701

Buy Project Report ₹501

The Hotel Reservation System developed using Django is a web-based application designed to streamline the process of booking hotel rooms for guests. It provides a user-friendly interface for both guests and hotel administrators to manage room reservations efficiently.

In the bustling hospitality industry, efficient management of hotel reservations is paramount for ensuring guest satisfaction and maximizing revenue. The Hotel Reservation System developed using Django addresses this need by providing a comprehensive solution for streamlining the booking process.

In today's digital era, guests increasingly prefer the convenience of booking accommodations online. Thus, our system aims to meet this demand by offering a user-friendly web-based platform where guests can effortlessly browse available rooms, make reservations, and manage their bookings from the comfort of their homes or on the go.

For hotel administrators, the system offers robust tools for managing room inventory, tracking reservations, and optimizing occupancy rates. With intuitive features and real-time updates, hotel staff can efficiently handle bookings, ensuring a smooth and seamless experience for both guests and staff alike.

By leveraging the power of Django, a high-level Python web framework known for its scalability, security, and rapid development capabilities, our Hotel Reservation System delivers a reliable and feature-rich solution tailored to the needs of modern hotels and their guests.

Throughout this project report, we will delve into the system's architecture, functionalities, implementation details, and future enhancements, providing a comprehensive overview of how the Hotel Reservation System revolutionizes the way hotels manage bookings and enhance guest experiences.

A web application to manage a hotel. It contains the following features.

  1. Search rooms with check in , check out, room type.
  2. View all rooms, categorywise
  3. Add room to the wishlist
  4. Booking rooms
  5. Sign up, Sign in, profile update.
  6. Booking history.

Technology Used in the project  

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. SQLite : SQLite database has been used as database for the project
  7. Django : Project has been developed over the Django Framework

Supported Operating System

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 3.8, PIP, Django.
  4. Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Project on Django Installation Steps :-

  1. Install Python 3.8
  2. Install Django version 3.1
  3. Install all dependencies cmd -python -m pip install --user -r requirements.txt
  4. Finally run cmd - python manage.py runserver

Online Pizza Ordering System in Python Django

Buy Source Code ₹701

Welcome to our Online Pizza Ordering System, where you can satisfy your pizza cravings with just a few clicks! This system is designed to streamline the pizza ordering process, offering a user-friendly interface for customers and efficient order management for administrators.

Features:

Pizza Menu:

  • Explore our diverse pizza menu featuring a variety of mouth-watering options. Each pizza comes with a detailed description and price, making it easy for users to choose their favorite flavors.

Order Placement:

  • With a simple click, users can place their pizza orders directly from the menu. The system records the selected pizza, generates a unique order ID, and timestamps the order placement.

Order Status Tracking:

  • Keep tabs on your pizza order with our real-time order status tracking. Users can visit the "Order Status" section, enter their order ID, and view essential information such as the pizza details, order timestamp, and whether the order is completed or pending.

Admin Panel:

  •  The system empowers administrators with a dedicated admin panel to efficiently manage incoming orders. Admins can mark orders as completed and maintain an organized view of both completed and pending orders.

How to Use:

Explore the Menu:

  •  Visit the "Pizza Menu" section to explore our delightful pizza options.
  •  Each pizza is accompanied by its name, description, and price.

Place Your Order:

  •  Click on the "Order" link next to your preferred pizza to initiate the order placement process.
  • Your order is assigned a unique ID, and the system records the timestamp.

Track Your Order:

  • Navigate to the "Order Status" section.
  •  Enter your order ID to retrieve real-time updates on your pizza order, including its current status.

Admin Functions:

  • Admins can access the admin panel to view and manage all incoming orders.
  •  Mark orders as "Completed" once they are ready for delivery or pickup.

Technology Used in the project

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. SQLite : SQLite database has been used as database for the project
  7. Django : Project has been developed over the Django Framework

Supported Operating System

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 2.7, PIP, Django.
  4. Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Project on Django Installation Steps :-

  1. Install Python 3.7 Or Higher
  2. Install Django version 2.2.0
  3. Install all dependencies cmd -python -m pip install --user -r requirements.txt
  4. Finally run cmd - python manage.py runserver

Doctors Appointment System Django Project with source code

Buy Source Code ₹501

The doctor appointment booking website project aimed to create a user-friendly platform for scheduling medical appointments efficiently. Leveraging modern web technologies such as HTML, CSS, JavaScript, and Django, the website offers a seamless experience for both patients and healthcare providers.

A website built using Django, HTML, CSS and JavaScript that enables booking an appointment with a doctor easily.

It features three modules: Admin Module, Doctor Module, Patient Module

A. The Admin Module

  1. Log In
  2. Verify and approve the patient and doctor accounts created.
  3. View the details of the patient as well as the doctor.
  4. Confirm the appointments booked by the patient.
  5. Generate an Invoice.

B. The Doctor Module

  1. Log In/Sign Up
  2. View the details of the patient (symptoms, name, mobile) assigned to them by admin.
  3. View their Appointments, booked by admin.

C. The Patient Module

  1. Log In/Sign Up
  2. View assigned doctor's details like (specialization, mobile number).
  3. View their booked appointment status (pending/confirmed) by admin.
  4. Book appointments.
  5. View/download Invoice pdf.

Technology Used in the project

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. SQLite : SQLite database has been used as database for the project
  7. Django : Project has been developed over the Django Framework

Django Installation Steps :-

  1. Install Python 3.10 Or Higher
  2. Install all dependencies cmd -python -m pip install  -r requirements.txt --user
  3. Finally run cmd - python manage.py runserver

Blog Website Project Using Python Django Project

The project aimed to develop a fully functional blog website using the Django web framework. Key features included user authentication, CRUD operations for managing blog posts, a commenting system, rich text editing capabilities, responsive design, and pagination. By leveraging Python, Django, HTML/CSS, and SQLite, the project provided valuable insights into web development. Future improvements were suggested, such as implementing search functionality, categories and tags, social media integration, security enhancements, and performance optimization. Overall, the project offered hands-on experience in building dynamic web applications with Django, empowering users to share their ideas and stories effectively.

Features:

  1. User Authentication: Registration, login, and logout functionalities.
  2. CRUD Operations: Users can create, read, update, and delete blog posts.
  3. Commenting System: Users can comment on posts.
  4. Responsive Design: Ensured the website is accessible across devices.
  5. Pagination: Implemented pagination for listing posts.
  6. Blogs are updated and deleted only by author of that blog.
  7. Profile is only changed by logging user.

Technology Used in the project

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. SQLite : SQLite database has been used as database for the project
  7. Django : Project has been developed over the Django Framework

Supported Operating System

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 3.10, PIP, Django.
  4. Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Project on Django Installation Steps :-

  1. Install Python 3.10
  2. Install Django version 4.1.6
  3. Install all dependencies cmd -python -m pip install --user -r requirements.txt
  4. Finally run cmd - python manage.py runserver

Download Link

Online Taxi Booking Python Django with Real time Map

Buy Now ₹6501

An online taxi booking Python Django project is a web-based application that allows users to book a taxi ride online through a user-friendly interface. The application integrates with real-time maps to show the location of available taxis and their estimated arrival times.

The project involves designing a database using Django's built-in ORM to store user and ride data. The application's frontend is created using HTML, CSS, and JavaScript to provide an interactive user interface for booking rides, tracking ride progress, and paying for rides.

The Python code interacts with the database to retrieve user data, such as name, email, and payment information, and with real-time map APIs to display the location of available taxis and their estimated arrival times. It uses algorithms to match user requests with available taxis, manage ride progress, and calculate fare amounts.

Some key features of an online taxi booking Python Django project may include:

  1. User registration and login
  2. Ride booking and tracking
  3. Real-time map integration
  4. Payment processing and receipt generation
  5. Ride history and user reviews
  6. Driver and vehicle management
  7. Ride cancellation and refund management
  8. Mobile app integration

Overall, an online taxi booking Python Django project provides a convenient and user-friendly way for users to book and track taxi rides, while providing drivers with a simple way to manage their bookings and pickups. The real-time map integration helps to minimize wait times and improve the overall user experience.

Technology Used in the project :-

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. Django: Project has been developed over the Django Framework

Supported Operating System :-

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 3.7.0, PIP, Django.
  4. Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Installation Step : -

  1. python 3.6.8
  2. command 1 - python -m pip install --user -r requirements.txt
  3. command 2 - python manage.py runserver

Online Gas Booking Project in Python Django

Buy Project Code ₹501

Buy Project Report ₹501

The Online Gas Booking System Project in Python Django has been developed to override the problems prevailing in the practicing manual system. This Project is Supported to eliminate and in some cases reduce the hardship faced by this existing system. More over this Project is designed for the particular need of the company to carry out operations in a smooth and effective manner

User Panel :

(Users first fill the signup form then login into their panel and do the following activities )

  1. Dashboard: This is the Welcome page for the customer.
  2. New Connection: In this section, customer sends the request for LPG connection to the organization
  3. Book Cylinder: When the organization provides a connection number then the customer can book his/her cylinder.
  4. Booking History: In this section, customer can view the history of gas booking.
  5. Search: In this section, customer can search gas booking records by entering the booking number.
  6. The customer can also update his profile, change the password and recover the password.

Admin Panel :

  1. Admin is the superuser of the website who can manage everything on the website. Admin can log in through the login page
  2. Dashboard: In this section, admin can see all detail in brief like the total new connection, total new connection,
  3. total on-hold connection, total approved connection, total rejected connection, total new booking, total confirmed booking, total canceled booking, total assign booking, total delivered LPG, total staff and total registered users
  4. Delivery Staff: In this section, admin can manage staff (add/update).
  5. Reg Users: In this section, admin can view the detail of registered users.
  6. Connection: In this section, admin can view the connection request admin also has the right to change connection status according to the current status and add his/her remarks.
  7. Booking: In this section, admin can view booking request and assign to delivery staff or cancel the booking.
  8. Assigned Booking: In this section, admin can change the status of booking according to the current status and add his/her remarks.
  9. Reports: In this section, admin can view booking and connection requests in a particular period.
  10. Search: In this section, admin can search booking and connection details with the help of booking number and connection number respectively.
  11. Admin can also update his profile, change the password and recover the password.

Technology Used in the project

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. SQLite : SQLite database has been used as database for the project
  7. Django : Project has been developed over the Django Framework

Supported Operating System

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 2.7, PIP, Django.
  4. Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Django Installation Steps :-

  1. Install Python 3.7 Or Higher
  2. Install Django version 3.0.8
  3. Install all dependencies cmd -python -m pip install --user -r requirements.txt
  4. Finally run cmd - python manage.py runserver

Online Tiffin Service Mangement System Using Django

Online Tiffin Service System is a Django based web application which strives to make an online portal for both vendors and customers. Using Interactive GUI anyone can quickly learn to use the complete system. This system will give power and flexibility to the administrator to manage the entire system from a single online portal.

In Online Tiffin Service System we use Python Django and SQLite Database. This project keeps the records of Tiffin’s orders. This project has three modules i.e. admin, vendor and customers.

Admin Module

  1. Dashboard: In this section, admin can briefly view all the databases users and vendors.
  2. Users: In this section, admin can manage Users (Add/Update/Delete/Edit).
  3. Customers:In this section, admin can manage Users (Add/Update/Delete/Edit).
  4. Vendors:In this section, admin can manage Users (Add/Update/Delete/Edit).
  5. User Groups:In this section, admin can manage Users (Add/Update/Delete/Edit).

Admin can also update his profile, change the password and recover the password.

Vendor Module

  1. Dashboard: In this section, Vendor can briefly view all orders.

User Module

  1. Home Page: In this section, user can view the home page of the web application and also view which food available in Tiffin service and order that food.
  2. My Profile: In this section, user can view and update his/her profile.
  3. Setting: In this section, user can change his/her password.
  4. Log out: The user can be logged off the system using this module.

Technology Used in the project Online Tiffin Service Mangement

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. SQLite : SQLite database has been used as database for the project
  7. Django : Project has been developed over the Django Framework

Supported Operating System

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 2.7, PIP, Django.
  4. Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Online Tiffin Service Mangement Django Installation Steps :-

  1. Install Python 3.7 Or Higher
  2. Install Django version 2.2.0
  3. Install all dependencies cmd -python -m pip install --user -r requirements.txt
  4. Finally run cmd - python manage.py runserver

 

  1. Admin Email - admin@admin.com
  2. Admin username - admin
  3. Admin Password -admin123
  4. Vendor ID
  5. 11910617
  6. 11910616
  7. 11910615

Download Link 

Food recommends based on your mood python django

It recommends food based on your mood. Also, it orders the recommendation list of restaurants using machine learning combining the user ratings, distance and cost for two, hence offering the most optimal choice.

This is a web application which recommends you food based on your mood using machine learning and delivers it to your doorstep.

We understand that the first thought that comes to our mind when we come across a food suggesting and delivery app, is obviously- "HOW IS THIS SOMETHING NEW?"

We'll explain. This web application is based on an absolutely new idea and is completely different from the traditional food delivery websites.

Firstly, it suggests a list of restaurants combining three basic parameters i.e cost, user rating and distance, all at the same time. Hence, it offers you the most optimal choice available, saving you the trouble of choosing the best restaurant for you using individual filters on traditional apps. The most commonly used apps allow you to choose a restaurant on the basis of only a single critera at a time, but we recommend you the nearest, most affordable and best quality restaurants, thereby catering to all your demands at the same time without having you to compromise on any of them.

Secondly, we understand that there are times when you are unable to decide what to order. Infact, we have personally faced this dilemma a hundred times when we've spent hours scrolling a food delivery app, thinking about the most important question which seems to have been given the least importance uptil now , "WHAT TO EAT?" MoodieFoodie helps you to choose a food item for all your moods, be it a happie, a sadie, an angrie, a dehydratie, a depressie, an excitie or an unwellie mood ;") Whatever be your mood, we can always suggest you food!

The app uses previous user moods and their respective food orders to suggest the best food choice for you.

Thirdly, we offer several other options for food ordering like the list of food items ordered the most at a particular time of the day or the restaurants that can order food in the minimum time if you're really hungry or the top searched food items, etc.

And lastly, this app allows you to order the food items that traditional food delivery apps don't. You can order tea, juices or even chocolates. For this, we have a separate "Wanna sell on MoodieFoodie" option for small scale sellers like small tea shops, women who make homemade chocolates or other small scale setups who wish to sell online.

Working and Implementation

  • The major feature of our project which sets it apart from the traditional apps of its kind needs three parameters to order the list of recommended restaurants with the highly recommended restaurant at the top. These three features are the user ratings, cost for two people and the restaurant's distance from the user.
    • Whenever any user orders from a certain restaurant, he/she is asked to rate the restaurant out of 5. The rating of that restaurant is then dynamically updated using the mathematical average of the current rating and the new rating. This computation also requires the storage of the number of ratings for a particular restaurant.
    • The cost for two people is permanently stored initially when a restaurant is added to the database.
    • To compute the distance of the user from a restaurant, we have stored the geocode of all the restaurants in the database. We have used the Google Maps API to extract the user's geocode and hence compute his/her distance.

    A very simple model of machine learning, that is logistic regression is used to implement the same. When the user chooses a certain restaurant among the recommended restaurants, then his/her choice to select a certain restaurant and discard other restaurants is used to train the model which only increases the accuracy of the algorithm.

  • The USP of our project, which is recommending the users food items based on their mood works on previous users' inputs only. Whenever any user orders from a certain restaurant, he/she is asked to specify what his/her mood was before he/she had ordered. His/Her order and mood is used to train the algorithm which gradually increases its accuracy.
  • To help small businesses expand their reach by selling on our application, we have simply provided them with a form wherein they can fill out the necessary details.

Installation Requirements

  1. Framework : Django, Version : 1.11.17
  2. Language : Python, Version : 3.6.3
  3. To run it, you need to install some packages and libraries as follows:
  4. Bootstrap 3
  5. numpy
  6. sklearn
  7. bcrypt
  8. django[argon]

Install dependencies directly from requirements.txt in pip installation,
To install these, write this on the command line terminal:
"pip install -r requirements.txt"

Run Project :-

 

  1. Enter command: "pip install -r requirements.txt"
  2. Enter the command: "python manage.py runserver"
  3. Copy the url and paste it in your favourite browser window.

Download Project