title	Instadetect
emoji	📉
colorFrom	yellow
colorTo	purple
sdk	docker
pinned	false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

InstagramFakeDetect API 👁️

About 🌟

Machine Learning Socketify.py API using DescionTree Classifier to predict if a account is Fake or Not

Technologies Used 🖥️

• Socketify.py
• Scikit-Learn
• Sql lite
• instaloader api
• Docker
• Nginx Proxy Manager

Desciption 🤖

• Self Hosted using Docker,Docker-Compose and Nginx Proxy manager on Home Server(Arch linux)
• Uses Socketify.py along with Scikit learn & Pandas To predict wheter a account is fake or not
• First It Uses a Jupyter Notebook to put all generated json data into a SQL lite database
• Uses Attributes like Followers,Following ,like etc. and DescionTree Classifier to determine the result
• Model is serialized into a Pickle file
• The api take a get request with username ,parses data using Instagrapi and predicts using serialized model

Detection Parameters 🐋

1. user_media_count - Total number of posts, an account has.
2. user_follower_count - Total number of followers, an account has.
3. user_following_count - Total number of followings, an account has.
4. user_has_profil_pic - Whether an account has a profil picture, or not.
5. user_is_private - Whether an account is a private profile, or not.
6. user_biography_length - Number of characters present in account biography.
7. username_length - Number of characters present in account username.
8. username_digit_count - Number of digits present in account username.
9. is_fake - True, if account is a spam/fake account, False otherwise

Thank you For your time 🚀