GreenLand: A Secure Land Registration Scheme for Blockchain and AI-Enabled Agriculture Industry 5.0

5,500.00
Our study aims to introduce a Blockchain-Enabled Land Registration System powered by AI to ensure secure, transparent, and tamper-proof land ownership records in agriculture, enhancing trust and reducing fraud in the agricultural sector.

Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network

5,500.00
Aim: The aim of this project is to design and develop an advanced real-time American Sign Language (ASL) detection system.

Heterogeneous Data Storage Management with Deduplication in Cloud Computing

5,000.00
Aim: Ā Ā Ā Ā Ā Ā  The main aim of this project is to control file duplication in cloud computing. Synopsis: Ā Ā Ā Ā Ā Ā  Cloud storage

House Price Prediction Using Machine Learning And Neural Networks

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Housing prices keep changing day in and day out and sometimes are hyped rather than being based on

Human Activity Recognition Through Ensemble Learning of Multiple Convolutional Neural Networks

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  This paper aim to classify the different types of videos using deep learning framework with convolution neural network

Hydroponic Power plant Monitoring Robot With Obstacles Detection

10,000.00

Aim:

The aim of this project is to develop an autonomous robot for monitoring hydroponic power plants using line-following navigation and environmental sensors. The robot detects obstacles, identifies objects with an ESP32-CAM, and updates data to Firebase for real-time monitoring. It provides an efficient and sustainable solution for automating hydroponic farming operations

IBGS A Wearable Smart System to Assist Visually Challenged

12,000.00
Aim: Ā Ā Ā Ā Ā Ā Ā  The Main Objective of the project is to build an assist device for visually impaired people with deep

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

Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning

5,500.00
To develop a robust and accurate crop yield prediction system by integrating meteorological data, pesticide usage records, and crop yield statistics, leveraging advanced machine learning techniques to promote sustainable agricultural practices and enhance global food security.

Integration of Traditional Knowledge and Modern Science: A Holistic Approach to Identify Medicinal Leaves for Curing Diseases

5,500.00
Aim: The aim of this project is to develop and implement a holistic methodology for identifying and evaluating medicinal leaves with the potential to treat various diseases.

Intelligent Crop Recommendation System using Machine Learning

5,500.00
Aim: Ā Ā Ā Ā Ā  Predict the crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on

Interactive Medical Image Segmentation Using Deep Learning with Image-Specific Fine Tuning

2,000.00
Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  DEEP learning with convolution neural networks (CNNs) has achieved state-of-the-art performance for automated medical image segmentation. However, automatic