The spread of fake newsand misinformation, particularly through social media, has led to public unrestand misinformation. Participants need to develop tools and strategies toquickly identify, verify, and neutralize misleading information while ensuringthe flow of accurate public safety communication

Develop a predictive analytics tool that utilizes data from various social media platforms, public security cameras, and historical crime data to identify potential threats to women's safety in specified areas. This software tool should also recommend preventive actions and alert local law enforcement and community safety groups in real-time.

Design an ethical social media monitoring system that can detect signs of gang activity and radicalization among juveniles. The system should use natural language processing to analyze posts, detect patterns, and alert authorities about potential gang recruitment or radical behavior, facilitating early intervention.

The phenomenon of "digital arrests," where fraudsters impersonate law enforcement officials to coerce victims into transferring funds under false legal threats, has surged across India. These scams exploit the victims' fear of legal repercussions, involving sophisticated deceit with fake identities, forged documents, and manipulated video calls resembling police environments. The rapid escalation in these cases has led to significant financial and emotional distress among the public, prompting urgent calls for effective interventions. The tool can offer solutions for prevention analytics-based detections, pattern analysis etc.