Showing 25–34 of 34 results

Impact of Fuzziness for Skin Lesion Classification with Transformer-Based Model

5,500.00
Aim: Ā Ā Ā Ā Ā  The primary objective of this project is to elevate the accuracy of skin lesion classification through the implementation

Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  To detect the plant leaf disease and to recommend the crop using Machine and Deep learning. Abstract: Ā 

LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model

5,500.00
Aim:Ā  To create a robust and accurate diagnostic tool employing Convolutional Neural Networks (CNNs) for the analysis of CT scan

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

Online Exam Proctoring System Based on Artificial Intelligence

5,500.00
Aim:Ā  Achieving exam integrity through an AI-driven Smart Proctoring System for vigilant monitoring and prevention of malpractices in online assessments.

Plant Disease Detection and Classification by Deep Learning: A Review

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  To detect the plant leaf diseases using convolutional neural network for high accuracy detection. Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  Identification of

Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  We proposed detecting Sleep Apnea Detection From Single-Lead ECG. The advancement of smart wearables technologies has provided a

Toward Fast and Accurate Violence Detection for Automated Video Surveillance Applications

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To detect and identify the Violation detection using Deep-Learning techniques. Abstract: Ā Ā Ā Ā Ā Ā Ā  The widespread deployment of surveillance cameras,

Traffic Signs Recognition using CNN and Keras

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  To detect and identify the Traffic Signs detection using CNN. Ā Abstract: Ā Ā Ā Ā Ā Ā Ā Ā  Traffic sign recognition and detection are

Whale and Dolphin Classification

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  To classify whale and dolphin species from images using feature extraction with VGG16 and a Support Vector Machine