Aim:
To develop a robust and efficient system for detecting Android malware by leveraging informative syscall subsequences, advanced machine learning, and deep learning models trained on the CICMalDroid2020 dataset.
Aim: Â Â Â Â Â Â Â Â Â The sentiment analysis for crypto currency-related tweets, Crypto currency market price prediction based on the analyzed sentiments with
Aim:
To develop a real-time video-level-sign classification system that identifies rescue and emergency hand signs using BiLSTM, enabling automated alert messages to guardians via Twilio SMS.