Abstract
The increasing complexity of modern crime investigation demands intelligent systems capable of analyzing diverse data sources efficiently. This paper presents a Crime AI Support System, a multi-modal framework integrating facial emotion recognition, voice analysis, media tampering detection, and an AI-based chatbot. The system leverages computer vision, speech processing, and digital forensic techniques to provide real-time insights into emotional states and evidence authenticity. A Flask-based backend enables modular integration and efficient processing of multimedia inputs. The chatbot offers contextual assistance using a hybrid rule-based and AI-driven approach. Experimental results indicate improved accuracy in emotion detection and reliable identification of tampered media. The proposed system enhances investigative efficiency and provides effective support for victims through integrated artificial intelligence solutions.
Keywords
Artificial Intelligence, Crime Analysis, Emotion Recognition, Voice Processing, Tampering Detection, Chatbot, Digital Forensics, Multi-modal System
Citations
IRE Journals:
Pavithra Natarajan, Sridharan TR, Mohamed Ibrahim B, Shiva Prakhash K "AI Powered Digital Forensics & Crime Investigation Supporting System" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 117-122 https://doi.org/10.64388/IREV9I10-1715859
IEEE:
Pavithra Natarajan, Sridharan TR, Mohamed Ibrahim B, Shiva Prakhash K
"AI Powered Digital Forensics & Crime Investigation Supporting System" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1715859
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