Python
Machine Learning
Efficient Machine Learning Approach For Crime Detection In India
The goal of this project is to create a reliable model for predicting droughts in regions that are vulnerable to them. Using Indian rainfall data, the project applies ARIMA and SARIMAX models to forecast droughts. The project aims to support better planning and response strategies, helping communities prepare for and mitigate the effects of droughts.
Enhancing Smishing Detection A Deep Learning Approach for Improved Accuracy and Reduced False Positives
The aim of this work is to explore and develop advanced methods for enhancing the detection and prevention of smishing attacks. This involves utilizing cutting-edge technologies such as machine learning, artificial intelligence, and behavioral analysis to identify and block fraudulent SMS messages, protecting users from financial and personal data theft. The goal is to create more effective, real-time detection systems to mitigate the growing threat of smishing attack
Evasion Attacks and Defense Mechanisms for Machine Learning-Based Web Phishing Classifiers
Face Detection and Recognition for Criminal Identification System
Facial Expression Recognition in the Wild Using Face Graph and Attention
Flexible Paths: A Path Planning Approach to Dynamic Navigation
Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network
Human Activity Recognition Through Ensemble Learning of Multiple Convolutional Neural Networks
Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning
Integration of Traditional Knowledge and Modern Science: A Holistic Approach to Identify Medicinal Leaves for Curing Diseases
Intelligent Crop Recommendation System using Machine Learning
