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Book Recommendation and Sharing

Table of Contents

About The Project

Our aim is to create a web portal for recommending books based on collaborative filtering. Also, providing user option to search book price online (using web scraping) and offline exchange of books using location of the seller (using spatial analysis). Refer this documentation.

Features

  • Registration for Users :
    Users can register on our platform to explore all the features .

  • Search :
    In this feature users can look for the book as per their interest.

    • Search by name
    • Search by author
    • Search by Genre

  • Get Recommendation:
    In this feature, we recommend books to users based on what other similar users have read and chosen as favorite book.

  • Online Price:
    You can check the online price of books from different sites and navigate to that site to buy the books online

  • Connect:
    You can connect with other users and exchange the book you want from them. For this purpose we have used the spatial queries and attributes. This has options like finding the users within 1km, 5km, 10km, 15km

  • Save:
    Here users can save their favorite genre and favorite books

  • Exchange Books:
    Option to fill form to exchange book you have wherein lat, long, book name and book info are taken and stored in the database, so that when someone wants to exchange that book, he can do the same with you.

  • Registration For NGOs:
    This feature is added to help NGOs so that they can get donated books from our users.

  • Donate:
    One can donate books to Schools and NGOs to help others to gain maximum knowledge. In this feature users are allowed to find the Schools and NGOs nearby their locations. For this purpose we have used the spatial queries and attributes. This has options like finding the ngos and schools within 1km, 5km, 10km, 15km


Tech Stack

Software used for this project :

  • Backend :

    • Python3
    • Django

  • Frontend:

    • HTML
    • CSS
    • JS

  • Database:

    • PostGIS
    • Pgadmin
    • neo4j

1 . Django
Django is a high-level Python web framework that enables rapid development of secure and maintainable websites. Built by experienced developers, Django takes care of much of the hassle of web development, so you can focus on writing your app without needing to reinvent the wheel.

2 . Python3
Python3 is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages.

3 . HTML
HTML (Hypertext Markup Language) is the code that is used to structure a web page and its content. For example, content could be structured within a set of paragraphs, a list of bulleted points, or using images and data tables.

4 . CSS
Cascading Style Sheets is a style sheet language used for describing the presentation of a document written in a markup language such as HTML. CSS is a cornerstone technology of the World Wide Web, alongside HTML and JavaScript.

5 . JS
JavaScript (JS) is a lightweight, interpreted, or just-in-time compiled programming language with first-class functions. While it is most well-known as the scripting language for Web pages, many non-browser environments also use it, such as Node.js, Apache CouchDB and Adobe Acrobat. JavaScript is a prototype-based, multi-paradigm, single-threaded, dynamic language, supporting object-oriented, imperative, and declarative (e.g. functional programming) styles.

6 . Postgres
PostgreSQL is used as the primary data store or data warehouse for many web, mobile, geospatial, and analytics applications. The latest major version is PostgreSQL 12.

7 . Postgis
PostGIS is a spatial database. Oracle Spatial and SQL Server (2008 and later) are also spatial databases.

8 . Pgadmin
PgAdmin is a web-based GUI tool used to interact with the Postgres database sessions, both locally and remote servers as well. You can use PGAdmin to perform any sort of database administration required for a Postgres database

9 . Neo4j
Neo4j facilitates personal data storage and management: it allows you to track where private information is stored and which systems, applications, and users access it. The graph data model helps visualize personal data and allows for data analysis and pattern detection


File Structure

.
├── Documentation                   # Documentation files       
│   ├── Project Report.pdf          # Project report
│   ├── Project Execution Steps.pdf   
│   └── Results                     # Folder containing screenshots of results
├── book_ex                         # Source code for feature - "exchange of books"
├── core                            # Source code for core features of webapp
├── datasets                        # Datasets required for project
├── donation                        # Source code for feature - "donations of books and NGO registration" 
├── project                         # Source code for django project with all imports and database connections
├── static                          # Contains all CSS, JS, vendors and image files
├── templates                       # Contains all HTML pages
├── web_scrape                      # Source code for feature - "web scrapping prices of books online in diff sites"
├── README.md 
├── manage.py                       # File used to run server                     
└── requirements.txt                # Contains all imports required to run the project

Database Models

  • Graph Database Model

    • Node Properties

      Node Properties
      Genre name, genre_id
      Book Title, img_url
      UserProfileInfo first_name, last_name, email, username, address, pincode, latitude, longitude, phone
      Author name

    • Graph Relationships

      Relations RelationFrom RelationTo
      FAVOURITEGENRE UserProfileInfo Genre
      FAVOURITEBOOK UserProfileInfo Book
      GENRE Genre Book
      WROTE Author Book

  • Spatial Database Tables

    • Table : donation_ngo

      Name of column Data Type
      id Integer
      name Character
      location geometry(Point)
      address Character
      city Character

    • Table : book_ex

      Name of column Data Type Of Column
      id integer
      name character
      location geometry(Point)
      address character
      city character
      book character
      author character
      email character
      contact character
      genre character

Getting Started

Installation

Clone the repo

git clone https://github.com/Bhumika-Kothwal/Book-Recommendation-and-Sharing.git

Prerequisites

See this for installation steps, setting up databases and running the project.


Results and Demo

  • Home Page

    Image 1 Image 2
    Image 3 Image 4

  • About-Us Page
    Image 1 Image 2

  • Register Page

    Image 1 Image 2
    Image 3 Image 4

  • Login Page
    Image 1 Image 2

  • Search Book

    • By name

      Image 1 Image 2
      Image 3 Image 4

    • By Genre
      Image 1 Image 2

    • By Author
      Image 1 Image 2 Image 3

  • Online Price Page

    Image 1 Image 2

  • Add to Favorites Page
    Image 1

  • Book Exchange Page
    Image 1 Image 2

  • Book Exchange Form Page
    Image 1 Image 2

  • Get Recommendations Page
    Image 1

  • Donate Page
    Image 1 Image 2

  • Register NGOs Page
    Image 1

  • Profile Page
    Image 1 Image 2

Future Work

  1. The database of books can be expanded to include several books of different genre
  2. A chat feature can be introduced between two people willing to exchange the book to ease out the communication

Contributors

Acknowledgements and Resources

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