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Vinit-source/AI-English-Tutor

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AI English Tutor to supplement English learning using LLM.

active 2024-03-142026-02-09 (UTC)

Complete coverage26,569 / 26,569 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
85
Pushes
44
Pull requests
11
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 698 days from 2024-03-14 to 2026-02-09. Pushes: 44 total, peak 14 in a day. Pull requests: 11 total, peak 8 in a day. Issues: 0 total, peak 0 in a day. Comments: 14 total, peak 8 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Vinit-source433274
Copilot211244
vercel[bot]6006

Recent activity

Latest issues, pull requests and releases

  • Pull request#9Copilot2025-09-27 22:09
  • Issue comment#8Copilot2025-09-27 21:53
    Fix prompt structure to ensure LLM captures objectives and drives conversations to completion
  • Issue comment#8Vinit-source2025-09-27 21:31
    Currently the prompts generated by LLM are not capturing the objectives and not taking the conversation to completion when all objectives are fulfilled. The prompt for every scenario generated by LLM/built-in ones SHOULD STRICTLY FOLLOW the following ...
  • Issue comment#8vercel[bot]2025-09-27 21:25
    Currently the prompts generated by LLM are not capturing the objectives and not taking the conversation to completion when all objectives are fulfilled. The prompt for every scenario generated by LLM/built-in ones SHOULD STRICTLY FOLLOW the following ...
  • Pull request#8Copilot2025-09-27 21:25
  • Pull request#2Vinit-source2025-09-27 21:03
  • Pull request#5Vinit-source2025-09-27 21:03
  • Issue comment#7vercel[bot]2025-09-27 20:40
    1. Currently there are two implementations to save learned words. Persist the learnedWords coming from aiResponse in the userMemory and show them in the My Words. 2. Add learnedPhrases as well in the responseSchema of Gemini and save the learnedPhrase...
  • Pull request#7Copilot2025-09-27 20:40
  • Issue comment#5Copilot2025-09-27 19:50
    Implement learned words tracking with Gemini response schema and UI improvements
  • Issue comment#5Vinit-source2025-09-27 19:43
    Implement learned words tracking with Gemini response schema and UI improvements
  • Issue comment#6vercel[bot]2025-09-27 19:35
    Audio feature
  • Pull request#4Vinit-source2025-09-27 19:28
  • Issue comment#4vercel[bot]2025-09-27 19:00
    [WIP] /fix Solve bugs and make the audio feature functional.
  • Pull request#3Vinit-source2025-09-27 19:00
  • Pull request#3Vinit-source2025-09-27 18:59
  • Issue comment#2Vinit-source2025-09-24 09:02
    Implement agentic behavior for AI English Tutor with dynamic scenario generation and functional objectives
  • Issue comment#2Vinit-source2025-09-24 08:27
    Implement agentic behavior for AI English Tutor with dynamic scenario generation based on user memory
  • Issue comment#2vercel[bot]2025-09-24 05:06
    [WIP] @aws-samples/sample-getting-started-with-strands-agents-course Refering to the above repo, could you implement agentic behaviour for the AI English Tutor such that the scenarios are dynamically generated based on the user's stored memory (their prefer...
  • Pull request#2Copilot2025-09-24 05:06
  • Pull request#1Vinit-source2025-05-03 19:39
  • Issue comment#1vercel[bot]2025-05-03 19:39
    Bug fixes
  • Pull request#1Vinit-source2025-05-03 19:39

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.