This project utilizes machine learning techniques to predict future trends in technology adoption. Leveraging a dataset collected from over 250 surveyed users, the system analyzes various factors such as demographics, preferences, and past behavior to forecast emerging technologies likely to gain traction in the market.
active 2024-04-23 → 2024-07-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 74 days from 2024-04-23 to 2024-07-05. Pushes: 31 total, peak 26 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| AnshLaw | 31 | 31 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.