Artificial Intelligence and Machine Learning Theory• Machine learning algorithms for deep anomaly detection

Anomaly Detection and Behavioral Theory• Monitoring user and system behavior

Digital Forensic Investigation ModelsDigital Forensic Research Workshop (DFRWS) Model• Abstract Digital Forensic Models (ADFM)• Integrated Digital Investigation Process Model (IDIP)• Enhanced Digital Investigation Process Model (EIDIP)

Advanced Threat Detection and Automated Digital Forensic Analysis• Advanced digital forensic analysis

Proactive Threat Mitigation• Appropriate attack tactics, and behavior re-automated forensics

Cyber Kill Chain FrameworkReconnaissanceWeaponizationDeliveryExploitationInstallationCommand and ControlActions on Objective

Mitre ATT&CK Framework• Granular modeling of adversary behavior

Agricultural AI System Features• Voice Input (Malayalam): Farmers ask questions via voice notes in their native language.• Speech-to-Text Conversion: Malayalam voice is converted into text for processing.• Multimodal Input: Farmers can upload images of diseased crops for visual diagnosis.• LLM-Based Chatbot: Queries are processed by a fine-tuned LLM leveraging agricultural datasets.• Weather API Integration: Real-time weather data is fetched and incorporated for context.• Expanded Dataset Coverage: Scaling knowledge to include 100+ crops, local calendars, and pest advisories.• AI Advisory & Context: Personalized, context-aware advice is generated and delivered.• Feedback Loop & Learning System: Continuously improves using farmer feedback and expert contribution.

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