Course Introduction and Final Product

Understand the project goals, final product, use cases, and complete learning path.

Lesson 01: Course Introduction and Final Product

This lesson is free.

Learning Objectives

By the end of this lesson, you will be able to:

explain how “Course Introduction and Final Product” fits into the complete system
complete the configuration or implementation step by step
verify the result and identify common failures

Estimated Study Time

10–15 minutes

Prerequisites

No programming experience is required; basic Windows File Explorer and CMD skills are sufficient.

Lesson Overview

Understand the project goals, final product, use cases, and complete learning path.

Core Concepts

This project is not a single text-to-video script. It is a complete production pipeline. The input is 2–5 news videos, with each video representing exactly one story. The output is a branded 9:16 news video with narration, subtitles, music, a cover image, and publishing metadata.

Core policy:

one video = one news item
each item ≈ 20 seconds
final frame = 1080 × 1920
source audio muted, AI narration active

Step-by-Step Instructions

Step 1: Review the Final Deliverables

A completed job exports:

forcelog-news-YYYYMMDD-HHMMSS.mp4
forcelog-news-YYYYMMDD-HHMMSS-cover.png
forcelog-news-YYYYMMDD-HHMMSS-post.txt
forcelog-news-YYYYMMDD-HHMMSS-metadata.json

Step 2: Understand the Full Pipeline

Read videos → Extract audio → Whisper transcription → News analysis
→ Narration and headline generation → Edge TTS → Qwen footage selection
→ Subtitles and timeline → Remotion render → Cover and post metadata

Step 3: Identify Suitable Use Cases

The workflow suits daily news, military news, international briefings, financial updates, and other short-form channels that need consistent visual branding.

Expected Result

You should now be able to explain the application's inputs, outputs, and the role of each AI and media component.

Common Issues and Solutions

Treating one long video as several stories

V1 follows a strict one-video-one-story policy. Split the source media before importing it.

Publishing without review

AI can misread names, places, numbers, or attribution. Review all factual claims before publication.

Best Practices

Begin with two short videos for the first end-to-end test, then scale to five.

Lesson Summary

You understand the final product, technology stack, and course path.

Practice Task

Write down your intended channel topic and prepare two videos that each contain one clear news event.

Next Step

Continue to Lesson 02.