Final Year Projects

₹5,500.00

Aim: This study develops a machine learning model to classify heart disease into different severity levels. It analyzes patient data to improve diagnostic accuracy and support medical decisions.

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RanViz Ransomware Visualization and Classification Based on Time-series Categorical Representation of API Calls

Python, Machine Learning

₹5,500.00

Aim

To develop a real-time ransomware detection system using API call temporal intervals, enabling simulation and classification of ransomware behavior with a live interface.

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Rule-Based With Machine Learning IDS for DDoS Attack Detection in Cyber-Physical Production Systems (CPPS)

Python, Machine Learning, Machine Learning

₹5,500.00

To enhance DDoS attack detection by implementing a machine learning system with hyperparameter optimization and advanced prediction techniques, utilizing the CICIDS dataset to achieve high classification accuracy and improve network security.

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XGBoost

Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques

RanViz Ransomware Visualization and Classification Based on Time-series Categorical Representation of API Calls

Aim

Rule-Based With Machine Learning IDS for DDoS Attack Detection in Cyber-Physical Production Systems (CPPS)

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