Flexible Paths: A Path Planning Approach to Dynamic Navigation

5,500.00
Aim: The aim of the project described in the abstract is to develop a path planning approach that provides users with more flexible routes, thereby improving their navigation experience in dynamic environments

Fraud Detection in Banking Data by Machine Learning Technique

5,500.00
Aim: The aim is to leverage the power of machine learning to create efficient and accurate fraud detection systems that protect the interests of both financial institutions and their customers.

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.

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

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

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.

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