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Android Malware Detection Using Informative Syscall Subsequences

5,500.00
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.

Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model

5,500.00
Aim:           The sentiment analysis for crypto currency-related tweets, Crypto currency market price prediction based on the analyzed sentiments with

Silent Alert: Advancing Women’s Security through Smart Sign Recognition and AI

5,500.00
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.