Abstract:

This project develops an advanced crime prediction and analysis system that utilizes natural language processing (NLP) and machine learning techniques to process crime narratives and offer actionable insights. The system is designed to analyse crime stories by extracting crucial information such as potential suspects, motives, opportunities, and the likelihood of specific crime categories. It employs various machine learning models, including deep learning approaches, to understand and classify the narratives efficiently. The system incorporates speech recognition, enabling users to input crime stories through voice commands, while the text-to-speech functionality allows for an interactive and seamless user experience. This combination of technologies makes the system more intuitive for law enforcement personnel and investigators, allowing them to quickly gather and understand relevant data without needing extensive training on technical aspects

Description:

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