Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP

5,500.00
Aim: To develop an enhanced LULC classification system using ResNet50v2 for better accuracy and LIME for explainability, while minimizing computational resource requirements.

IoT based Smart Bin- A Swachh-Bharat Initiative

11,000.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of this project is smart and automatic moving and waste disposed dustbin for older people, patients

IoT based Smart Garbage System

11,000.00
Objective Ā Ā Ā Ā Ā Ā Ā Ā Ā  The main aim of this project is to implement the best Garbage Management using IOT sensors and mobile

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

Loan Status Prediction in the Banking Sector using Machine Learning

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