ﺳﺎﻣﺎﻧﻪ ﺗﻮﺻﯿﻪﮔﺮ ﻫﻮﺷﻤﻨﺪ رژﯾﻢ ﻏﺬاﯾﯽ ﺑﺎ اﺳﺘﻔﺎده از ﯾﺎدﮔﯿﺮي ﻋﻤﯿﻖ

Diet Intelligent Recommendation System using Deep Learning

زﻧﺪﮔﯽ ﻣﺪرن ﺳﺒﺐ ﺗﻐﯿﯿﺮ ﺳﺒﮏ زﻧﺪﮔﯽ در دﻧﯿﺎي اﻣﺮوز ﺷﺪه اﺳﺖ و ﺑﯿﻤﺎريﻫﺎي زﯾﺎدي از ﺟﻤﻠﻪ اﺿﺎﻓﻪ وزن و دﯾﺎﺑﺖ را ﺑﻮاﺳﻄﻪ ﮐﻢ ﺗﺤﺮﮐﯽ ﺑﻮﺟﻮد آورده اﺳﺖ. ﺳﯿﺴﺘﻢﻫﺎي ﻫﻮﺷﻤﻨﺪ ﮐﺎﻣﭙﯿﻮﺗﺮي از ﺟﻤﻠﻪ ﺳﯿﺴﺘﻢﻫﺎي ﭘﯿﺸﻨﻬﺎد دﻫﻨﺪه، ﮐﺎرﺑﺮد روز اﻓﺰوﻧﯽ در زﻣﯿﻨﻪﻫﺎي ﻣﺨﺘﻠﻒ از ﺟﻤﻠﻪ ﭘﺰﺷﮑﯽ ﭘﯿﺪا ﮐﺮدهاﻧﺪ و ﻣﯽﺗﻮاﻧﻨﺪ ﺑﻪ ﻋﻨﻮان اﺑﺰار ﻓﯿﻠﺘﺮ ﮐﺮدن ﺣﺠﻢ ﻋﻈﯿﻢ اﻃﻼﻋﺎت ﺑﺎ ﻧﻈﺎرت ﭘﺰﺷﮑﺎن، ﺳﺮوﯾﺲﻫﺎي ﻣﺨﺘﻠﻒ ﻣﺸﺎورهاي ﻋﺮﺿﻪ ﮐﻨﻨﺪ. در اﯾﻦ ﺗﺤﻘﯿﻖ ﻣﺪﻟﯽ ﺑﺮاي ﯾﮏ ﺳﯿﺴﺘﻢ ﻫﻮﺷﻤﻨﺪ ﭘﯿﺸﻨﻬﺎد دﻫﻨﺪه اراﺋﻪ ﺷﺪه اﺳﺖ ﮐﻪ ﺑﺎ ارزﯾﺎﺑﯽ ﺷﺮاﯾﻂ ﺗﻨﺎﺳﺐ اﻧﺪام و داﻧﺴﺘﻦ ﻧﯿﺎزﻫﺎي ﻏﺬاﯾﯽ ﮐﺎرﺑﺮان، ﺑﺮﻧﺎﻣﻪ ﻏﺬاﯾﯽ ﻣﻨﺎﺳﺒﯽ را ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ وﺿﻌﯿﺖ ﺟﺴﻤﺎﻧﯽ ﻣﺎﻧﻨﺪ ﺳﻦ، ﻗﺪ، وزن و... ﭘﯿﺸﻨﻬﺎد ﻣﯽﻧﻤﺎﯾﺪ.

Modern life has changed the way of life in the world today and has caused many diseases, including overweight and diabetes as a consequence of inactivity.Smart computer systems, including recommendation systems, have found increasing use in a variety of fields, including medicine, and can provide various consulting services as a means of filtering large volumes of information under the supervision of physicians. In this study, we propose a model for a smart system that evaluates the fitness conditions and knowing the nutritional needs of the users and proposes a suitable diet plan according to physical condition such as age, height, weight, etc.