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RanjitDas-IN/Decision_Making_Model

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The Decision-Making Model is Nisha’s intent-classifier: it converts any spoken or typed user prompt into a precise intent label (e.g., "General", "system".....) so the assistant can trigger the right action. It combines advanced tokenization (custom RoBERTa based) with a tuned classifier, achieving ~90 % accuracy on 10+ everyday intents.

active 2025-05-14 → 2025-07-02 (UTC)

Complete coverage27,908 / 27,908 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-20 (UTC)
Events
12
Pushes
8
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 50 days from 2025-05-14 to 2025-07-02. Pushes: 8 total, peak 2 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: 0 total, peak 0 in a day.

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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

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RanjitDas-IN8800

Recent activity

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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.