Skip to content

Fake Profile Detection System Using Machine Learning(ANN). We trained a ml model with dataset of fake and real profile and it gives result with 98% accuracy.

Notifications You must be signed in to change notification settings

lsgdefault/Fake-Profile-Detection-System-Using-ML-ANN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation


Fake Profile Detection System Using ML(ANN)

Description

Fake Detection System Using Machine Learning(ANN). This Project is a fake profile detection system for social media.

Features

•Supports Twitter for profile detection & check
•Supports Instagram for profile detection  & check
•Can Add your own user data to check

Tech Used

Python TensorFlow Keras NumPy Django JavaScript HTML5 Bootstrap

Installation

Before You start add your instagram credentials on view.py in order to check and validate instagram account.
This is to inform you that to run this project you need to create "Virtual Environment". Virtual Environment provides an isolation environment for python files.

The following steps will guide you to create Virtutal Environment and this code should be executed in cmd and directory will be the folder in which you stored this project.

For instance, my directory is E:\FPD

Note: You Must have Installed Python and Django In Your Device

Step 1- creating virtutal environment as myvenv:- E:\FPD>python -m venv myvenv
Step 2- activating virtual environment:- E:\FPD>myvenv\Scripts\activate
Step 3- installing requirement files to run this project:- (myvenv) E:\FPD>pip install -r requirements.txt
Step 4- project on server:- (myvenv) E:\FPD>python manage.py runserver

The above mentioned requirements.txt file is already provided with project.

After following the above given steps, you are good to go and can run this astonishing project.

About

Fake Profile Detection System Using Machine Learning(ANN). We trained a ml model with dataset of fake and real profile and it gives result with 98% accuracy.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published