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scammer-list's Introduction

Scammer-List

This is a project made to identify scammers and spammers by filtering profile names, website detection and message analysis, using it's database of spam profiles and maching learning

⚑ Visit the Web App on Scammer List
πŸš€ To download the executable file click here

How to use the Web App πŸ‘¨πŸ»β€πŸ’»

  1. Go to the website
  2. Enter the name and the message
  3. Press Submit
  4. You will be able to see the result on the Right side
Click below image to see a video tutorial πŸ‘‡πŸΌ

Example Video

How to use the Desktop App πŸ‘¨πŸ»β€πŸ’»

  1. Download the executable. Click Here!
  2. Open the App & Enter the name. Press Enter
  3. Enter the message and press Enter
  4. You will be able to See the result
  5. Enter y to Report spam or Enter n to skip reporting
Click below image to see a video tutorial πŸ‘‡πŸΌ

Example Video

πŸš€ Features πŸš€

  1. A database of the names of the top scammers, bitcoin addressed, websites and their ratings have been made, so as to list infamous scammers based on past records and possible dangers arising
  2. Next, a machine learning algorithm has been set up which takes in the user’s input of the suspected scammer, which involves the name of the suspect and some messages involving the threat suspicion
  3. Then the algorithm determines rating and past records and identifies potential spam and scam
  4. This way, our algorithm checks and returns back a response. This idea is based on the serious need of people to check whether some online user is a scammer or not, and whether or not s/he should trust him/her.
    Note: All the links are at https://linktr.ee/scammerlist including Source Code; API; Downloadable executables
PHP API at PHP API

Documentation of the API


Made with Python ,PHP, Typescript and ❀️ in India.

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