Arnav Joshi

🏢 Unmonitored Public Spaces Traditional surveillance systems often miss real-time threats due to limited human monitoring and delayed detection.We enable real-time multimodal threat detection across images, audio, and text to instantly flag threats. 🎓 Campus and Workplace Safety Risks Institutions and offices struggle to detect verbal aggression, suspicious behavior, or dangerous conversations before escalation.We provide Instant alerts, sentiment analysis, and keyword detection catch early signs of aggression or threats. 🔍 Manual Investigation Overload Security teams had to manually sift through hours of CCTV footage, audio logs, and chat transcripts to detect incidents — leading to delays and human error.We provide automated analysis of incoming data streams reduces human workload and speeds up threat identification. 🔒 Privacy and Data Exposure Issues Many threat detection systems rely heavily on cloud processing, putting sensitive information at risk of breaches.All detection happens locally, client-side, ensuring privacy and serverless data security. 🧩 Fragmented Data Sources Separate tools were needed for image analysis, text monitoring, and audio scrutiny, making threat detection disjointed and inefficient.Our unified platform analyzes all media formats together for a seamless, complete threat picture.