Neural-XGBoost A Hybrid Approach for Disaster Prediction and Management Using Machine Learning

5,500.00

Aim

Ā  Ā  Ā  Ā  Ā  To develop a four-class disaster prediction system that uses SMOTE for class balancing, evaluates four advanced machine learning models, selects the best-performing classifier, and deploys it through an interactive web interface

 

Rank Fusion-Based Crime Scene Shoeprint Image Retrieval

5,500.00

Aim:

Ā Ā Ā Ā Ā Ā Ā  The aim of the document project is to develop an automated shoeprint image retrieval system for forensic investigation. The system focuses on matching crime-scene shoeprints with reference images using handcrafted visual features. It seeks to improve retrieval accuracy through rank-level fusion of multiple descriptors.