AI & Machine Learning

1const API_BASE = 'https://api.endpoint-hidden-contact-us.com/api/v1';
2const API_KEY = process.env.VIDEO_API_KEY;
3
4interface DatasetEntry {
5  url: string;
6  label: string;
7  category: string;
8}
9
10async function buildTrainingDataset(entries: DatasetEntry[]) {
11  const results = [];
12  
13  for (const entry of entries) {
14    const params = new URLSearchParams({
15      query: entry.url,
16      video_quality: '720p',  // Balanced for ML training
17      video_format: 'mp4',
18      webhook_url: 'https://ml-pipeline.com/api/ingest',
19      webhook_authorization: 'Bearer ' + process.env.WEBHOOK_SECRET,
20    });
21
22    const res = await fetch(`${API_BASE}/video/download?${params}`, {
23      headers: { 'x-api-key': API_KEY }
24    });
25
26    const { job_id } = await res.json();
27    results.push({ job_id, ...entry, timestamp: Date.now() });
28    
29    console.log(`Queued: ${entry.label} → Job ${job_id}`);
30  }
31
32  // Webhooks will deliver results with metadata for labeling
33  return results;
34}
35
36// Build dataset for action recognition
37buildTrainingDataset([
38  { url: 'https://youtube.com/watch?v=abc', label: 'walking', category: 'motion' },
39  { url: 'https://tiktok.com/@user/video/123', label: 'dancing', category: 'motion' },
40]);