The primary way to train has always been for an apprentice to shadow a journeyman or master tradesman. Now we can all talk and share images and text, and use FaceTime to help solve installation and training issues. The next step is to equip the apprentice with a mounted camera on a hat or glasses, along with an earpiece, so they can keep their hands free to work while the journeyman or master tradesman stays connected via the web to direct and teach.
The instructor could direct multiple people at the same time, alternating as each person is on their own separate screen. This allows the instructor to provide personal, one-on-one training for specific challenges in the field and in the classroom. Each situation is recorded with video and audio for use as a training video, then loaded into an AI library that transcribes everything and matches the transcription to specific time marks in the video.
This does two things: it lets you search the videos for future use when someone has a question about a specific situation addressed in the video, and it brings you directly to the specific minute mark in the video; it also updates the library with new situations and topics.
Each video in the library will ask the viewer to rate it to confirm it provided a solution. If more information is needed or the topic isn’t available in the library, you’ll be directed to connect with an instructor for a solution.
This creates an ongoing, updated library of information and reduces redundancy in instructor training on videos that have already provided solutions in the field.
This process provides an environment to capture the knowledge and experience of older tradesmen retiring and makes it accessible for future use.
The goal is to get this set up on specific private AI platforms to maintain its integrity and accuracy.