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+Human-Detection-Using-Drone-During-Disasters
+
+This project focuses on detecting humans in disaster scenarios using three
+different methods. The system is designed to send a message to a predefined
+number whenever a human is detected. The detection methods include:
+
+Live Camera Feed: Utilizes the laptops live camera to detect humans in
+real-time. AI-Generated Dataset: Employs a custom dataset simulating people
+trapped in earthquake scenarios to train AI models for human detection.
+Drone Footage: Analyzes video recorded by a DJI Naza M Lite drone to
+identify humans in the footage. We used Vonage for sending messages and
+Visual Studio for project development. The objective of this project is to
+enhance disaster response times by promptly alerting rescuers to the
+presence of humans in disaster-stricken areas.
+
+In each scenario, the software sends an alert message to a predefined
+number upon detecting a human, ensuring a faster response in disaster
+situations.