Plant Disease Detection Using Machine Learning Techniques

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  We proposed a complete systematic approach to detect Plant disease using Machine Learning algorithm. Ā Abstract: Ā Ā Ā Ā Ā Ā Ā  This paper

Predicting Agriculture Yields Based on Machine Learning Using Regression and Deep Learning

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

Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques

5,500.00
Aim: This study develops a machine learning model to classify heart disease into different severity levels. It analyzes patient data to improve diagnostic accuracy and support medical decisions.

Predicting Market Performance Using Machine and Deep Learning Techniques

5,500.00
The aim of this study is to evaluate the effectiveness of various machine learning and deep learning algorithms, including LSTM networks, ARIMA models, and traditional machine learning techniques, for forecasting market prices. We analyze the performance of these models on stock historical datasets and compare their predictive accuracy to determine the most suitable approach for real-time market analysis. This research seeks to provide insights into the predictability of markets and support informed decision-making for investors

Prediction of Diabetes Using Machine Learning Algorithms in Healthcare

2,000.00
Aim: Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā This paper aims to help doctors and practitioners

Predictive Analysis of Network based Attacks by Hybrid Machine Learning Algorithms

5,500.00
To enhance DDoS attack detection by implementing a machine learning system with hyper-parameter optimization and advanced prediction techniques

Predictive Analytics on Diabetes Data using Machine Learning Techniques

5,500.00
Aim: Ā Ā Ā Ā Ā Ā  To help doctors and practitioners in early prediction of diabetes using machine learning techniques.Ā Ā  Abstract: Ā Ā Ā Ā Ā Ā Ā Ā  Diabetes caused

Privacy-Preserving Outsourced Support Vector Machine Design for Secure Drug Discovery

5,000.00
Aim Ā Ā Ā Ā Ā  Ā  Ā Ā  To allow the cloud to securely use multiple drug formula providers’ drug formulas to train Support

Product Recommendation System Using Large Language Model Llama 3

5,500.00
To develop a chatbot that integrates Retrieval-Augmented Generation (RAG) and Llama-3 API for product recommendation by leveraging a vector database with embeddings created using SBERT. This aim involves addressing limitations in traditional recommender systems, such as cold start problems and lack of personalization, by combining state-of-the-art language models with efficient data retrieval mechanisms.

Ransomware Classification and Detection with Machine Learning Algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  This study aims to improve the accuracy of Ransomware Classification and Detection with Machine Learning Algorithms Ransomware Classification,

Real Time Alert System based on Crime Area Mapping

5,500.00
Aim:Ā  The objective of this system is to provide real-time alerts for users based on crime-prone areas, allowing citizens to report complaints and enabling police verification through an integrated mapping and notification system.

Real-Time Plant Disease Dataset Development and Detection of Plant Disease Using Deep Learning

5,500.00
Aim: The primary aim of this project is to develop an advanced plant disease detection system that leverages state-of-the-art deep learning architectures, such as ResNet152V2 and EfficientNetV2B3, to achieve higher accuracy, scalability, and efficiency.