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.

Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data using GPT

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of this research is to improve the accuracy and contextual understanding of sentiment analysis in COVID-19-related

MAD-CTI: Cyber Threat Intelligence Analysis of the Dark Web Using a Multi-Agent Framework

5,500.00

Aim : The aim of this project is to design and develop a scalable cyber threat intelligence system that analyzes dark web content to identify potential cyber threats such as hacks, malware, and vulnerabilities, using API–powered large language models for efficient and high-speed reasoning.

 

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.

Medical Chatbot

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  To create a chatbot that predicts medical conditions from images and provides disease-specific information, treatment options, and patient

Mo-SSS: A Motorcycle Smart Security System Using Raspberry Pi Based on the Internet of Things

Call for Price

Aim:

Ā  Ā  Ā  Ā The Mainstay of the project is to develop a smart motorcycle security system using Raspberry Pi and IoT, ensuring enhanced theft prevention, real-time alerts, and accident detection. The system integrates advanced features like location tracking, photo capture, and power management for efficient and secure vehicle operation.

Mobile crowd sensing approaches to address the COVID-19 pandemic in Spain

5,000.00
Abstract: Information technologies are called upon to help authorities to deal efficiently with the containment measures of the pandemic. One

Motorized Solar Scarecrow Bird Animal Repellent

13,500.00

Aim:

Ā Ā Ā Ā Ā Ā Ā Ā  The Mainstay of the project is to develop a sustainable and efficient Arduino-powered solar repellent system that effectively deters wildlife from entering protected areas using motion and sound, while minimizing environmental impact.

Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application

5,500.00
Aim:Ā  To develop an Android application for detecting diseases in mulberry leaves using deep learning and provide actionable insights like weather data analysis and fertilization recommendations.

Multi-Fruit Classification and Grading Using a Same-Domain Transfer Learning Approach

5,500.00
To develop an advanced fruit classification and grading system using deep learning models (EfficientNetV2-B3, ResNet152V2, and ResNet50V2) for comparative analysis and to implement an alert mechanism for detecting bad-quality fruits.

Neoj4 and SARMIX Model for Optimizing Product Placement and Predicting the Shortest Shopping Path

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of this research is to develop an integrated system that optimizes product placement and enhances in-store navigation using advanced data analytics and graph-based techniques.