Posted on Leave a comment

Movie Recommendation System Project Using Collaborative Filtering, Python Django, Machine Learning

Buy Now ₹2501

( Note : Project Included with Complete Source code Database Plus Documentation, Synopsis, Report)

Read Before Purchase  :

  1. One Time Free Installation Support.
  2. Terms and Conditions on this page: https://projectworlds/terms
  3. We offer Paid Customization installation Support
  4.  If you have any questions please contact  Support Section
  5. Please note that any digital products presented on the website do not contain malicious code, viruses or advertising. You buy the original files from the developers. We do not sell any products downloaded from other sites.
  6. You can download the product after the purchase by a direct link on this page.

Recommender systems are one of the most successful and widespread application of machine learning technologies in business. You can find large scale recommender systems in retail, video on demand, or music streaming.

A Web Base user-item Movie Recommendation Engine using Collaborative Filtering By matrix factorizations algorithm and thus the advice supported the underlying concept is that if two persons both liked certian common movies,then the films that one person has liked that the opposite person has not yet watched are often recommended to him.

A recommender system is a type of information recommend movies to user according to their area of interest. Our recommender system provide personalized information by learning the user‟s interests from previous interactions with that user[2]. In pattern recognition, the knearest neighbours algorithm (k-NN) is a flexible method used for classification. In following cases, the input consists of the k closest examples in given space. If k = 1, then the object is simply assigned to the class of that single nearest neighbour.

Algorithms Implemented 

  • Content based filtering
  • Collaborative Filtering
    • Memory based collaborative filtering
      • User-Item Filtering
      • Item-Item Filtering
    • Model based collaborative filtering
      • Single Value Decomposition(SVD)
      • SVD++
  • Hybrid Model
    • Content Based + SVD

Technologies Used

Web Technologies

Html , Css , JavaScript , Bootstrap , Django

Machine Learning Library In Python3

Numpy , Pandas , Scipy

Database

SQLite

Requirements
python 3.6

pip3

virtualenv

Read Before Purchase  :

  1. One Time Free Installation Support.
  2. Terms and Conditions on this page: https://projectworlds/terms
  3. We offer Paid Customization installation Support
  4.  If you have any questions please contact  Support Section
  5. Please note that any digital products presented on the website do not contain malicious code, viruses or advertising. You buy the original files from the developers. We do not sell any products downloaded from other sites.
  6. You can download the product after the purchase by a direct link on this page.
Posted on

Online Voting System in django Python | Django Poll

Django poll app is a full featured polling app. You have to register in this app to show the polls and to vote. If you already voted you can not vote again. Only the owner of a poll can add poll , edit poll, update poll, delete poll , add choice, update choice, delete choice and end a poll. If a poll is ended it can not be voted. Ended poll only shows user the final result of the poll. There is a search option for polls. Also user can filter polls by name, publish date, and by number of voted. Pagination will work even after applying filter.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

python== 3.5 or up and django==2.0 or up

Installing

open terminal and type

onal in project directory and type

python manage.py makemigrations
python manage.py migrate

To use admin panel you need to create superuser using this command

python manage.py createsuperuser

To run the program in local server use the following command

python manage.py runserver

Then go to http://127.0.0.1:8000/home in your browser

 

Download Here

Posted on

Online Assignment Submission Project on Python Django

Buy Now ₹501

Online Assignment Submission Project on Python Django is a system that enable the student to submit their assignment or project online without submitting any physical file. The proposed system helps reducing and minimizing human error, capable to assist supervisors in process controlling and managing students. During lockdown its very help full project.

Functional requirements to explain

identity:administrator, teacher, teaching assistant, student (each person has their own school ID number, within 10 digits, there can be letters, and everyone has a password)

Administrator: issue questions, delete questions 、Teacher information management, class organization (a teaching class has a main teacher, there can be no teaching assistant, or more than one teaching assistant)

Teachers: teaching assistant management (specify the teaching assistant's authority), class management, problem setting, assignment assignment, corrective assignment, statistics job completion

Assistants: rights specified by the teacher to complete all or part of the work, classroom management, the question, assignments, correcting homework, work statistics completion

Students: complete and submit the Assignment.

 

Technology Used in the project Online Assignment Submission 

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

Supported Operating System

  • We can configure this project on following operating system.
  • Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  • Python 2.7, PIP, Django.
  • 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 Assignment Submission Project on Django Installation Steps :-

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

 

Buy Now ₹501

Student Login Details :

username: [email protected]
password: visg123456

teacher  Login Details :

username: [email protected]
password: visg123456

Admin  Login Details :

Link - http://127.0.0.1:8000/admin
username: visg
password: visg123456