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 ...
Keyword: java
Delivery Time: 4 days left days
Price: $793.0
HTML5 Java Machine Learning (ML) Python Software Architecture
Coding experts for AI training We are hiring Coding experts for Python, Java, JavaScript, SQL, C++ You may contribute your expertise by… • Crafting and answering questions related to computer science in order to help train AI models • Evaluating and ranking code genera...
View JobAplicativo para Desktop que permita receber dados do terminais android ou mobile, e validar, confrontar, gerar relatórios consolidar os dados coletados.Category: IT & ProgrammingSubcategory: Desktop appsWhat is the scope of the project?: Medium-sized changeIs this a...
View JobLooking for Android Developer to Build a Lightweight POS App (Kotlin Preferred, No Vendor SDKs) I'm looking for a skilled Android developer (Kotlin-native preferred) to build a focused POS companion app with the following strict requirements: Functional Requirements P...
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