§£§ä§à§â§à§Û §Ú §å§Ø§Ö §Ö§Ø§Ö§Ô§à§Õ§ß§í§Û AI Hackathon §ã§à§ã§ä§à§Ú§ä§ã§ñ §Ó §®§Ú§ß§ã§Ü§Ö §Ó §¢§Ú§Ù§ß§Ö§ã-§Ú§ß§Ü§å§Ò§Ñ§ä§à§â§Ö §±§£§´17-19 §ß§à§ñ§Ò§â§ñ.
§¹§ä§à §Õ§Ö§Ý§Ñ§ä§î §Ú §Ü§ä§à §Ó§Ú§ß§à§Ó§Ñ§ä
- §à§â§Ô§Ñ§ß§Ú§Ù§Ñ§ä§à§â§í – §Ü§à§Þ§Ñ§ß§Õ§Ñ SPACE §Ú §¢§Ú§Ù§ß§Ö§ã-§Ú§ß§Ü§å§Ò§Ñ§ä§à§â §±§£§´;
- §Ô§Ö§ß§Ö§â§Ñ§Ý§î§ß§í§Û §á§Ñ§â§ä§ß§×§â §Ú §ã§à§à§â§Ô§Ñ§ß§Ú§Ù§Ñ§ä§à§â – §Ó§Ö§ß§é§å§â§ß§í§Û §æ§à§ß§Õ Haxus;
- §á§Ñ§â§ä§ß§×§â §Ú §Þ§Ö§ß§ä§à§â§ã§Ü§Ñ§ñ §á§à§Õ§Õ§Ö§â§Ø§Ü§Ñ – §Ü§à§Þ§á§Ñ§ß§Ú§ñ ASBIS §Ú §À§â§Ú§Û §®§Ö§Ý§î§ß§Ú§é§Ö§Ü;
- §á§Ñ§â§ä§ß§×§â-§å§é§Ñ§ã§ä§ß§Ú§Ü – §Ü§à§Þ§á§Ñ§ß§Ú§ñ PicsArt.
§£ §ï§ä§à§Þ §Ô§à§Õ§å §á§â§Ú§Ù§à§Ó§à§Û §æ§à§ß§Õ §ã§à§ã§ä§Ñ§Ó§Ú§ä $10 000. §±§â§à§Ô§â§Ñ§Þ§Þ§Ñ §ç§Ñ§Ü§Ñ§ä§à§ß§Ñ, §â§Ö§Ô§Ú§ã§ä§â§Ñ§è§Ú§ñ §Ú §Õ§Ö§ä§Ñ§Ý§Ú §ç§Ñ§Ü§Ñ§ä§à§ß§Ñ §Õ§Ñ§Ý§Ö§Ö §Ó §Ñ§ß§à§ß§ã§Ö:
48 §é§Ñ§ã§à§Ó §Ü§à§Þ§Ñ§ß§Õ§í §Ò§å§Õ§å§ä §â§Ñ§Ò§à§ä§Ñ§ä§î §ß§Ñ§Õ §ã§à§Ò§ã§ä§Ó§Ö§ß§ß§í§Þ§Ú §á§â§à§Ö§Ü§ä§Ñ§Þ§Ú §Ó §à§Ò§Ý§Ñ§ã§ä§Ú §Ú§ã§Ü§å§ã§ã§ä§Ó§Ö§ß§ß§à§Ô§à §Ú§ß§ä§Ö§Ý§Ý§Ö§Ü§ä§Ñ, §Ó§Ü§Ý§ð§é§Ñ§ñ §ä§Ö§ç§ß§à§Ý§à§Ô§Ú§Ú §Ü§à§Þ§á§î§ð§ä§Ö§â§ß§à§Ô§à §Ù§â§Ö§ß§Ú§ñ (AI/AR). §£ §Ü§à§ß§è§Ö §ç§Ñ§Ü§Ñ§ä§à§ß§Ñ §å§é§Ñ§ã§ä§ß§Ú§Ü§Ú §á§â§Ö§Õ§ã§ä§Ñ§Ó§ñ§ä §á§â§à§ä§à§ä§Ú§á§í §Ø§ð§â§Ú.
§µ§é§Ñ§ã§ä§Ú§Ö §Ò§Ö§ã§á§Ý§Ñ§ä§ß§à§Ö, §â§Ö§Ô§Ú§ã§ä§â§Ñ§è§Ú§ñ §à§Ò§ñ§Ù§Ñ§ä§Ö§Ý§î§ß§Ñ.
- §±§â§Ú§ß§Ú§Þ§Ñ§Ö§Þ §Ü §å§é§Ñ§ã§ä§Ú§ð §Ü§à§Þ§Ñ§ß§Õ§í §à§ä §ä§â§Ö§ç §é§Ö§Ý§à§Ó§Ö§Ü.
- §¦§ã§Ý§Ú §å §Ó§Ñ§ã §ß§Ö§ä §Ü§à§Þ§Ñ§ß§Õ§í, §Ó§í §ã§Þ§à§Ø§Ö§ä§Ö §ã§à§Ù§Õ§Ñ§ä§î §Ö§Ö §Ú§Ý§Ú §á§â§Ú§ã§à§Ö§Õ§Ú§ß§Ú§ä§î§ã§ñ §Ü §Ü§à§Þ§Ñ§ß§Õ§Ö §á§à§ã§Ý§Ö §á§Ö§â§Ó§í§ç §á§Ú§ä§é§Ö§Û 17 §ß§à§ñ§Ò§â§ñ.
§±§â§Ú§Ô§Ý§Ñ§ê§Ñ§Ö§Þ §ä§Ö§ç§ß§Ú§é§Ö§ã§Ü§Ú§ç §ã§á§Ö§è§Ú§Ñ§Ý§Ú§ã§ä§à§Ó, §Ü§à§ä§à§â§í§Ö §á§à§ß§Ú§Þ§Ñ§ð§ä §Ú§Ý§Ú §Ô§à§ä§à§Ó§í §â§Ñ§Ù§à§Ò§â§Ñ§ä§î§ã§ñ §Ó AI: Machine Learning, Deep Learning, NLP, Computer Vision §Ú §ä.§Õ.
§¹§ä§à §ß§å§Ø§ß§à §Õ§Ý§ñ §å§é§Ñ§ã§ä§Ú§ñ
- §¢§Ñ§Ù§à§Ó§í§Û §ß§Ñ§Ò§à§â §Õ§Ñ§ß§ß§í§ç (§Õ§Ñ§ä§Ñ§ã§Ö§ä§í), §Ù§Ñ§ä§à§é§Ö§ß§ß§í§Û §á§à§Õ §â§Ö§Ñ§Ý§Ú§Ù§Ñ§è§Ú§ð §Ó§Ñ§ê§Ö§Û §Ú§Õ§Ö§Ú.
- §±§â§à§ä§à§ä§Ú§á, §Ü§à§ä§à§â§í§Û §Ò§å§Õ§Ö§ä §â§Ö§Ù§å§Ý§î§ä§Ñ§ä§à§Þ §å§é§Ñ§ã§ä§Ú§ñ §Ó §ç§Ñ§Ü§Ñ§ä§à§ß§Ö, §Õ§à§Ý§Ø§Ö§ß §à§Ò§â§Ñ§Ò§Ñ§ä§í§Ó§Ñ§ä§î §Õ§Ñ§ß§ß§í§Ö §Ú §Ó§í§Õ§Ñ§Ó§Ñ§ä§î §à§á§â§Ö§Õ§Ö§Ý§Ö§ß§ß§í§Û §â§Ö§Ù§å§Ý§î§ä§Ñ§ä.
§¤§Õ§Ö §ß§Ñ§Û§ä§Ú §Õ§Ñ§ä§Ñ§ã§Ö§ä§í
- §±§à§Õ§á§Ú§ã§Ñ§ä§î§ã§ñ §ß§Ñ §â§Ñ§ã§ã§í§Ý§Ü§å §Õ§Ñ§ä§Ñ§ã§Ö§ä§à§Ó §Ú §ã§ã§í§Ý§à§Ü §ß§Ñ §Ú§ç §ã§Ü§Ñ§é§Ú§Ó§Ñ§ß§Ú§Ö §ß§Ñ §ã§Ñ§Û§ä§Ö Jeremy Singer-Vine – §á§â§à§Ô§â§Ñ§Þ§Þ§Ú§ã§ä §Ú §Ø§å§â§ß§Ñ§Ý§Ú§ã§ä §Ú§Ù §³§º§¡.
- §±§à §ã§ã§í§Ý§Ü§Ö §Ñ§â§ç§Ú§Ó §Õ§Ñ§ä§Ñ§ã§Ö§ä§à§Ó, §Ü§à§ä§à§â§í§Ö §Þ§à§Ô§å§ä §Ò§í§ä§î §Ó§Ñ§Þ §á§à§Ý§Ö§Ù§ß§í.
§¬§â§Ú§ä§Ö§â§Ú§Ú §à§è§Ö§ß§Ü§Ú §á§â§à§Ö§Ü§ä§Ñ:
- §ª§Õ§Ö§ñ – §Ø§ð§â§Ú §à§è§Ö§ß§Ú§ä §á§Ö§â§ã§á§Ö§Ü§ä§Ú§Ó§í §Ú§Õ§Ö§Ú §ã §ä§Ö§ç§ß§Ú§é§Ö§ã§Ü§à§Û §Ú §Ò§Ú§Ù§ß§Ö§ã §ä§à§é§Ö§Ü §Ù§â§Ö§ß§Ú§ñ;
- §±§â§Ö§Ù§Ö§ß§ä§Ñ§è§Ú§ñ;
- §²§Ñ§Ò§à§ä§Ñ§ð§ë§Ú§Û §á§â§à§ä§à§ä§Ú§á – §ß§Ñ§Ý§Ú§é§Ú§Ö §á§â§à§ä§à§ä§Ú§á§Ñ §á§à§Ü§Ñ§Ø§Ö§ä, §ß§Ñ§ã§Ü§à§Ý§î§Ü§à §Ó§à§Ù§Þ§à§Ø§ß§Ñ §Ö§Ô§à §â§Ö§Ñ§Ý§Ú§Ù§Ñ§è§Ú§ñ §Ó §Ò§å§Õ§å§ë§Ö§Þ.
- §ã §Ô§Ý§å§Ò§à§Ü§à§Û §ï§Ü§ã§á§Ö§â§ä§Ú§Ù§à§Û §Ó AI §Ú§Ý§Ú §Ó§à§Ù§Þ§à§Ø§ß§à§ã§ä§î§ð §Ò§í§ã§ä§â§à §Ú§Þ§á§Ý§Ö§Þ§Ö§ß§ä§Ú§â§à§Ó§Ñ§ä§î AI §Ó §ß§à§Ó§å§ð §á§â§Ö§Õ§Þ§Ö§ä§ß§å§ð §à§Ò§Ý§Ñ§ã§ä§î;
- §ã §Ô§à§ä§à§Ó§í§Þ §á§â§à§ä§à§ä§Ú§á§à§Þ/MVP;
- §ã§à §ã§á§à§ã§à§Ò§ß§à§ã§ä§î§ð §Ú§ß§ä§Ö§ß§ã§Ú§Ó§ß§à §â§Ñ§Ò§à§ä§Ñ§ä§î §ß§Ñ§Õ §á§â§à§Õ§å§Ü§ä§à§Þ.
Haxus §ß§Ö §Ú§ë§Ö§ä §Þ§ß§à§Ô§à §á§â§à§Ö§Ü§ä§à§Ó, §Ü§à§Þ§Ñ§ß§Õ§Ñ §æ§à§ß§Õ§Ñ §Ô§à§ä§à§Ó§Ñ §å§é§Ñ§ã§ä§Ó§à§Ó§Ñ§ä§î §Ó §â§Ñ§Ù§Ó§Ú§ä§Ú§Ú §á§Ö§â§ã§á§Ö§Ü§ä§Ú§Ó§ß§í§ç §á§â§à§Õ§å§Ü§ä§à§Ó, §é§ä§à§Ò§í §á§à§Þ§à§é§î §Ó§í§â§Ñ§Ò§à§ä§Ñ§ä§î §ã§ä§â§Ñ§ä§Ö§Ô§Ú§ð §Ú §â§Ö§ê§Ú§ä§î §Ó§ä§à§â§à§ã§ä§Ö§á§Ö§ß§ß§í§Ö §Ó§à§á§â§à§ã§í – §ã§Ö§â§Ó§Ö§â§ß§Ñ§ñ §Ú§ß§æ§â§Ñ§ã§ä§â§å§Ü§ä§å§â§Ñ, §æ§Ú§ß§Ñ§ß§ã§Ú§â§à§Ó§Ñ§ß§Ú§Ö, §ð§â§Ú§Õ§Ú§é§Ö§ã§Ü§Ñ§ñ §á§à§Õ§Õ§Ö§â§Ø§Ü§Ñ, HR §Ú §Õ§â.
§²§Ö§Ô§Ú§ã§ä§â§Ñ§è§Ú§ñ §á§à §ã§ã§í§Ý§Ü§Ö.
