Phishing URL Detection: A Real-Case Scenario Through Login URLs

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  To provide an automated system for the recognition of phishing websites through login URLs Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Phishing attacks

Plant Disease Detection and Classification by Deep Learning: A Review

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  To detect the plant leaf diseases using convolutional neural network for high accuracy detection. Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  Identification of

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

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

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.

Rank Fusion-Based Crime Scene Shoeprint Image Retrieval

5,500.00

Aim:

Ā Ā Ā Ā Ā Ā Ā  The aim of the document project is to develop an automated shoeprint image retrieval system for forensic investigation. The system focuses on matching crime-scene shoeprints with reference images using handcrafted visual features. It seeks to improve retrieval accuracy through rank-level fusion of multiple descriptors.

 

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,

RanViz Ransomware Visualization and Classification Based on Time-series Categorical Representation of API Calls

5,500.00

Aim

Ā  Ā  Ā  Ā  Ā  To develop a real-time ransomware detection system using API call temporal intervals, enabling simulation and classification of ransomware behavior with a live interface.