Driving Change: AI-Powered Content Creation for Next-Gen Automotive Marketing

The VideoSpark platform, as part of the Motork Product Suite, is a groundbreaking software leveraging artificial intelligence for the production of automotive videos and commercials. Its primary aim is to simplify the content creation process, minimize reliance on extensive resources or expertise, and reduce marketing costs, all while enhancing conversion rates through the creation of captivating and informative videos. The process involves collecting vehicle text data and images, sorting these images and organizing vehicle information for optimal display, and then automatically generating advertising videos using templates and pre-defined soundtracks. The utilization of AI models, including Convolutional Neural Networks (CNNs), Support Vector Machine (SVM) for image classification, angle detection, and the YOLO algorithm for object detection and segmentation, ensures that the most marketing-relevant features of the vehicle are showcased. Decision trees further aid in classifying textual data into coherent categories, enriching the videos with relevant information. The final step involves integrating the classified and processed image and text data to create engaging videos, which are then distributed across various digital platforms. The project's infrastructure and user interface are designed for scalability and reliability, employing technologies such as Python, FastAPI, Docker, SQLAlchemy, VueJs, and Tailwind CSS. This thesis outlines an innovative approach to automotive marketing through AI, aiming to redefine traditional content creation methods and establish new benchmarks for efficiency, accessibility, and impact. Its applications span various industries such as real estate, tourism, e-commerce, education, and healthcare, showcasing its wide-reaching potential and versatility.