IoT Based Smart Helmet For Construction Workers

9,500.00
AIM: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Safety is a major problem in construction works.Ā Ā This project aims to develop smart wearable devices such as band

IoT based Smart U-Turn Vehicle Accident Prevention System

10,000.00
AIM: Ā 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

IoT Sensor Initiated Healthcare Data Security

14,000.00
Objective Ā Ā Ā Ā Ā Ā Ā Ā  Ā Ā  Aim of the project is to develop a secure data transmission system between healthcare devices and end-user

KiRTi: A Blockchain-based Credit Recommender System for Financial Institutions

5,500.00
Aim Ā Ā Ā Ā Ā Ā  The main aim of this project to remove the third party agent between the perspective lenders and perspective

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

LE-YOLO: Lightweight and Efficient Detection Model for Wind Turbine Blade Defects Based on Improved YOLO

5,500.00
Aim: To develop a lightweight and efficient detection model using YOLO-v8 for identifying wind turbine blade defects with improved accuracy and real-time performance.

Leaf Disease Detection Based on Lightweight Deep Residual Network and Attention Mechanism

5,500.00
Aim:             To address the significant challenge of identifying plant diseases using deep Residual Network. Synopsis:             The proposed work

Leveraging Machine Learning Techniques of Real Time Detection of UPI Fraud

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  To develop a robust and scalable fraud detection framework for Unified Payments Interface (UPI) transactions using advanced ensemble and boosting algorithms such as Random Forest, Extra Trees, Cat Boost, and Light GBM.

Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images

5,500.00

Aim:

Ā  Ā  Ā  Ā  The project aims to design a lightweight, high-precision breast-mass detection framework using YOLOv11 that can accurately identify lesions in ultrasound images. It seeks to reduce false detections and enable real-time performance on medical imaging systems.

LMD_YOLO: A Lightweight and Efficient Model for Pavement Defects Detection

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā To develop a lightweight, accurate, and efficient YOLO-based deep learning model for detecting and classifying pavement defects such as cracks and potholes in real time, optimized for deployment.