Python
Artificial Intelligence in Agriculture: A Systematic Review of Crop Yield Prediction and Optimization
BGL-PhishNet: Phishing Website Detection Using Hybrid Model-BERT, GNN, and LightGBM
Classifying Swahili Smishing Attacks for Mobile Money Users: A Machine-Learning Approach
Credit Scoring Prediction Using Deep Learning Models in the Financial Sector
Crop Yield Prediction Using Random Forest Algorithm
DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform
Denoising in the Dark: Privacy Preserving Deep Neural Network Based Image Denoising
Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition
Aim:
The primary aim of this project is to detect, monitor, and provide mental health support for pregnant women by analyzing free conversational speech in naturalistic settings. The system leverages cloud-based communication, AI-driven audio analysis, and human–AI hybrid interaction to screen for depression and anxiety while providing emotional support through chat and voice-based systems.
Design of face detection and recognition system monitor students during online examinations using Machine Learning algorithms
Detection of Careless Responses in Online Surveys
Diagnosis of Liver Disease using ANN and MLAlgorithms with Hyperparameter Tuning
The aim of this project is to develop a system for the diagnosis of liver disease using Artificial Neural Networks (ANN) and Machine Learning (ML) algorithms with hyperparameter tuning. The project focuses on leveraging advanced models and optimization techniques to enhance predictive capabilities, aiding in the early detection and effective management of liver disease.
