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webapp that records audio or takes audio input from the user, and analyze their public speaking ability, and give feedback with visualized data. We want to primarily use React for front end and primarily use node.js with the Deepgram API for back end and audio analysis.

active 2024-09-28 → 2024-10-06 (UTC)

Complete coverage27,362 / 27,362 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-28 (UTC)
Events
55
Pushes
28
Pull requests
6
Issues
0
Stars
0
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 9 days from 2024-09-28 to 2024-10-06. Pushes: 28 total, peak 16 in a day. Pull requests: 6 total, peak 5 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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

ContributorContributionsPushesPRsComments
BerryMachine151410
ehan50007340
scoobycent-gif7700
aniqueali175410

Recent activity

Latest issues, pull requests and releases

  • Pull request#3BerryMachine2024-09-29 11:54
  • Pull request#3ehan50002024-09-29 11:20
  • Pull request#2ehan50002024-09-29 08:46
  • Pull request#2ehan50002024-09-29 08:46
  • Pull request#1ehan50002024-09-29 07:15
  • Pull request#1aniqueali172024-09-28 23:49

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.