Showing 313–324 of 362 results

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.

Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

5,500.00
Aim: To predict the high demand need of pickup location for taxi services based on their previous history. Ā  Synopsis:

Recognition of Fish in Aqua Cage by Machine Learning with Image Enhancement

5,500.00
Aim: The aim of this project is to propose a system to automate the process of fish population monitoring in aquaculture environments by utilizing the YOLOv8 deep learning-based object detection model, combined with image enhancement techniques.

Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services

5,000.00
Aim: Ā Ā Ā Ā Ā Ā Ā  The main aim of the project is to identify the Credit card Fraud transaction that has been initiated

Resume Builder

2,000.00
Aim: Ā Ā Ā Ā Ā Ā Ā  The primary aim of “FlaskResumeGen” is to provide users with a convenient and efficient platform for creating professional

RingNet: A Memory-Oriented Network-On-Chip

4,000.00
  Existing system Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  In the existing system design of novel NoC architecture called RingNet that is well-suited to the

Road Traffic Accident Risk Prediction and Key Factor Identification Framework Based on Explainable Deep Learning

5,500.00
Aim: The aim of this study is to develop a robust and accurate traffic accident risk prediction model by leveraging deep learning techniques such as CNN (Convolutional Neural Network), BiLSTM (Bi-directional Long Short-Term Memory), and GRU (Gated Recurrent Unit) models.

Secure and Efficient Outsourced k-Means Clustering using Fully Homomorphic Encryption With Ciphertext Packing Technique

5,500.00
Aim Ā Ā Ā Ā Ā Ā Ā Ā  The main aim of this project is to preserve the outsourced data in cloud through gateway encryption, and