Develop a ML-Based Bot Traffic Detection System
Budget: $50 – $100 USD
Hello :), I need someone to make a machine learning project that can spot bot traffic. Basically, the idea is to figure out if a visitor to a webpage is legit or not by looking at stuff like where they came from and what browser, window size etc (You have to use more data points than this). If they're not legit, the website should block them, maybe with a 403 error. I know this could be done without machine learning, but I specifically want a machine learning project. You can use Flask to make a basic webpage and run the model along with it using javascript to communicate with it.
You can use any available data set + augmented data is acceptable. This is a demo project, so it doesn't have to be perfect but the documentation has to be very very clear in jupyter notebooks. You need to come up with a basic formula for detecting traffic.
Deliverables:
1. Jupyter Notebook File
2. Source Code
3. Basic nstructions to set it up
When bidding, please be specific about your approach as that will help me to pick the most suitable person. Thanks.
Deadline: April 15th.
Budget: $100
You can use any available data set + augmented data is acceptable. This is a demo project, so it doesn't have to be perfect but the documentation has to be very very clear in jupyter notebooks. You need to come up with a basic formula for detecting traffic.
Deliverables:
1. Jupyter Notebook File
2. Source Code
3. Basic nstructions to set it up
When bidding, please be specific about your approach as that will help me to pick the most suitable person. Thanks.
Deadline: April 15th.
Budget: $100