Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To apply machine learning techniques result in improving the accuracy in the prediction of Chronic Kidney Disease. Abstract:

CNN Based Object Recognition and Tracking System to Assist Visually Impaired People

11,000.00
Aim: Ā Ā Ā Ā Ā Ā Ā  The Main Objective of the project is blind people cannot see objects in their surroundings, it would be

CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection

5,500.00
To develop an efficient image forgery detection system using deep learning, leveraging transfer learning models such as ConvNeXt and ResNet to enhance accuracy. The project focuses on designing a robust system that can detect forged images with high precision and recall.

Coding-Based Low-Power Through-Silicon-Via Redundancy Schemes for Heterogeneous 3-D SoCs

4,000.00
Synopsis Ā Ā Ā Ā Ā Ā Ā Ā Ā  Three dimensional integration is one of the promising solutions to check the bare 3D integrated circuits before utilizing

Coffee Bean Defects Automatic Classification Realtime Application Adopting Deep Learning

5,500.00
Aim: The aim of this project is to propose an efficient, real-time system for automatic classification of coffee bean defects using the YOLOv8 deep learning model.

Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  To determine the customer loan approval system using machine learning algorithms. Abstract: Ā Ā Ā Ā Ā  Loan approval is a very

Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines

5,500.00
Aim: Ā Ā Ā Ā Ā  This paper aim to detect Driver Drowsiness Detection by using support Vector Machines. Abstract: Ā Ā Ā Ā  Driver drowsiness is

Comparative Analysis Study for Air Quality Prediction in Smart Cities Using Regression Techniques

5,500.00
Aim: To systematically compare and evaluate the performance of various regression techniques for Air Quality prediction in smart cities, aiming to identify the most effective model that can contribute to accurate and timely forecasting.

Convolution neural network based enhanced computerized Technique for brain tumour detection

5,500.00
Aim: To detect and identify the Brain Tumor using Deep-Learning techniques Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Brain is the controlling unit of human

Cost-Effectively Searchable Blackbox Data with Unlinkability Based on Public Blockchain

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  The aim of this project is to propose a novel approach to create a cost-effective and searchable blackbox

Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  The main aim is to detect fraudulent transactions using credit cards with the help of ML algorithms and

Crop Prediction Based on Characteristics of the Agricultural Environment Using Various Feature Selection Techniques and Classifiers

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  Predict the crop recommendation for a agriculture environment using machine learning technique and also using various feature selection