Showing 1–12 of 29 results

A Novel Transformer Model With Multiple Instance Learning for Diabetic Retinopathy Classification

5,500.00
Aim: To design and implement an advanced diagnostic system for retinal disease classification, combining state-of-the-art feature extraction and classification models for superior accuracy.

Accident Prevention and Detection System using IoT Integrated in an Electric Pole

10,500.00
Objective: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  The mainstay of the project is to design and develop a system is to prevent accidents occurring due

AI and Digital Twins Transforming Healthcare IoT

8,000.00
The aim of this project is to develop a healthcare system using Digital Twins for monitoring cardiac diagnostics. It monitors vitals like heart rate, ECG and temperature to detect early cardiac issues

Android Malware Detection Using Informative Syscall Subsequences

5,500.00
Aim: To develop a robust and efficient system for detecting Android malware by leveraging informative syscall subsequences, advanced machine learning, and deep learning models trained on the CICMalDroid2020 dataset.

Application of IoT and Artificial Intelligence in Road Safety

12,500.00
Aim: Ā Ā Ā Ā Ā Ā  Ā  This paper explores the advancement of the Internet of Things (IoT) and Machine Learning in the field

Automated Brain Tumor Segmentation and Classification in MRI using YOLO-based Deep Learning

5,500.00
The aim of this research is to develop a more effective and efficient brain tumor segmentation system using the YOLOv11 architecture. The focus is on enhancing the accuracy and reliability of tumor identification in brain imaging, specifically through advanced segmentation techniques. By leveraging deep learning models, the study seeks to provide an automated solution for real-time tumor segmentation, assisting in clinical decision-making and early diagnosis.

Canine Skin Disease Classification Using Convolutional Neural Networks (CNN)

5,500.00
Aim: To develop a custom Convolutional Neural Network (CNN) model for accurately classifying seven common canine skin diseases, thereby improving diagnostic precision and supporting veterinary care.

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

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.

Design And Implementation Of Assistive Robot For The Elderly And Impaired Person

9,750.00
Objective: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Aim of the project is to develop an assistive system for Alzheimer’s patient which is capable to remind

Drought Forecasting: Application of Ensemble and Advanced Machine Learning Approaches

5,500.00
Aim: The goal of this project is to create a reliable model for predicting droughts in regions that are vulnerable to them. Using Indian rainfall data, the project applies ARIMA and SARIMAX models to forecast droughts.