docs: link the project repository

README.md

@@ -22,6 +22,6 @@ Languages: Hindi, Marathi, Tamil, Kannada, Malayalam, Gujarati, Punjabi, Telugu,
 
 ## How labels were made
 
-See the project README for the full method. Short version: a text LLM reads each session's transcript and labels every segment end complete/incomplete; `gemini-3.7-flash` then hears every built clip and gives the deciding verdict. Text and audio agree on 89.5–93.3% of segments per language; only 39–50% of pause-cut clips are truly incomplete, so pause-cuts are kept only when the audio verdict says incomplete.
+See the [project repository](https://github.com/adimyth/indic-smart-turn) for the full method and code. Short version: a text LLM reads each session's transcript and labels every segment end complete/incomplete; `gemini-3.7-flash` then hears every built clip and gives the deciding verdict. Text and audio agree on 89.5–93.3% of segments per language; only 39–50% of pause-cut clips are truly incomplete, so pause-cuts are kept only when the audio verdict says incomplete.
 
 Attribution: AI4Bharat (IndicVoices), SPRING Lab IIT Madras / TamilEOT, Pipecat.