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Android Malware Detection Using Informative Syscall Subsequences

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

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

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₹5,500.00
Aim:           The sentiment analysis for crypto currency-related tweets, Crypto currency market price prediction based on the analyzed sentiments with
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Silent Alert: Advancing Women’s Security through Smart Sign Recognition and AI

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₹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.
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