I created an AI-powered video archive for searching family videos

Father's Day is about a week away, and like many people who cannot physically be with their fathers due to distance, the creator decided to build a machine-learning powered, searchable video archive as a digital gift. The archive allows for easy searching through family videos via text, transcripts, and object recognition. The project involved transferring videos to cloud storage, analyzing them using the Video Intelligence API, and building a user interface with Flutter for quick and efficient searching. The creator shared the archive with their father and received positive feedback on its functionality and ease of use.

[Music]

My dad has always been the family videographer, capturing important moments from my birth to various family events over the years. To make these videos more accessible and searchable, I embarked on a project to create an AI-powered video archive. By utilizing the Video Intelligence API and cloud technologies, I was able to create a searchable database of our family videos, allowing us to easily find and relive special moments from the past.

Keywords

Machine learning, Video archive, AI, Searchable database, Video Intelligence API, Cloud storage, Flutter, Family videos, Digital gift

FAQ

1. What was the motivation behind creating the AI-powered video archive? The creator wanted to find a way to make family videos easily accessible and searchable for their father, who was far away, especially as Father's Day approached.

2. How were the videos analyzed in the project? The videos were analyzed using the Video Intelligence API, which provided annotations based on the content of the videos, including object recognition, event detection, and audio transcription.

3. What technologies were used to build the user interface of the video archive? Flutter, a Google framework for building apps, was used to create a user-friendly interface for searching and accessing the family videos stored in the archive.