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Online Exam Proctoring System Based on Artificial Intelligence

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₹5,500.00
Aim:  Achieving exam integrity through an AI-driven Smart Proctoring System for vigilant monitoring and prevention of malpractices in online assessments.
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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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Traffic Signs Recognition using CNN and Keras

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₹5,500.00
Aim:            To detect and identify the Traffic Signs detection using CNN.  Abstract:          Traffic sign recognition and detection are
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Uncertain Facial Expression Recognition via Multi-Task Assisted Correction

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₹5,500.00
The aim of this research is to develop a robust and accurate facial expression recognition system that addresses the challenges posed by uncertain and ambiguous data. We aim to improve upon existing methods to enhance feature representation learning and uncertainty mitigation.
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