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Curve-Fit Algorithm

During the internship project at Veracity Trust Network, a team of Mathematics graduates collaborated under the leadership of a dedicated project lead to develop a curve-fitting model that improved the precision of malicious bot detection on client websites by approximately 5%. The project involved intensive research and algorithmic development to overcome the challenges posed by a limited bot-behavior dataset and the need to scale detection to large real-time data. By combining qualitative insights with quantitative techniques, the team adapted linear regression to meet the curve-fitting requirements, ensuring robustness despite initial setbacks with traditional regression methods. Delivered within a tight two-week deadline, the project demonstrated effective teamwork and innovative problem-solving, providing the company with valuable outcomes and a foundation for future advancements.

Requirements

  • Python 3.x
  • NumPy
  • matplotlib
  • scikit-learn

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Project Report

Note: This repository contains only non-confidential portions of a project to showcase the technical contributions of the entire team while adhering to company confidentiality policies.

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CurveFit algorithm on coordinates-data of the bot-behaviours.

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