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AI-Based Accident Analysis and Prevention
The best candidate for an AI-based Accident Analysis and Prevention System project should have a combination of technical expertise, problem-solving skills, and domain knowledge in AI, ML, and real-time systems. Here’s what makes an ideal candidate: 1. Strong AI & ML Expertise • Proficiency in machine learning algorithms for risk prediction (e.g., decision trees, random forests, neural networks). • Experience in computer vision for real-time accident detection using object detection models (YOLO, OpenCV). • Knowledge of deep learning frameworks (TensorFlow, PyTorch) to build robust AI models. 2. Real-time Data Processing Skills • Ability to work with IoT sensors, traffic cameras, and GPS data for real-time accident detection. • Experience with big ...