Intelligent Crop Recommendation System using Machine Learning

5,500.00
Aim: Ā Ā Ā Ā Ā  Predict the crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on

Machine Learning Based Heart Disease Prediction System

5,500.00
Aim: Ā  Ā  Ā  To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.

Machine Learning in Money Laundering Detection Over Blockchain Technology

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā To develop a robust machine learning system for detecting money laundering activities in blockchain transactions using Random Forest, Decision Tree, LightGBM, and CatBoost models.

Measuring the Heart Attack Possibility using Different Types of Machine Learning Algorithms

5,500.00
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.

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

 

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

5,500.00

Aim

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

Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  To develop a high-accuracy breast cancer classification system using an optimized Support Vector Classifier integrated with preprocessing and feature selection techniques.

 

Twitter Spam Detection Using Natural Language Processing by Encoder Decoder Model

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods. Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā Ā