Why grounded video answers need timestamps

Welcome! I am Param, and in this course we are going to build a grounded video Q&A assistant. By the end, you will have a Streamlit app that takes a YouTube URL, builds a hybrid retrieval index over the transcript, and answers questions with clickable timestamp citations.

Paste a long lecture into ChatGPT and ask "what did the speaker say about gradient descent?" You get a confident answer. You have no idea if it is true, which minute it came from, or whether the model invented half of it.

Summarization is not the bottleneck. Trust is. A grounded answer lets the user click a timestamp, watch the original clip, and verify the claim. Without that loop, every answer is a pleasant fiction and users stop trusting the tool.

Here is the shape of answer we are building toward: "The speaker introduces gradient descent at [2:14](link) and walks through the learning rate at [4:31](link)." Every claim carries a deep link that plays back the exact moment in the video.

Quiz: Quiz

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AI prompt: Try it: compare grounded vs ungrounded

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