Deep Learning Algorithms are used extensively for diagnosis and to predict various health factors in the healthcare system for better accuracy and precision. Due to recent developments in Artificial Intelligence, the prediction accuracy rate is high with Deep Learning models. Autoimmune diseases are about 80 different types; 8% of the global population is suffering from these conditions nowadays, and 3 quarters are women amongst these sufferers. Autoimmune diseases are chronic inflammatory diseases caused due to persistent inflammation; the traditional treatments result in various side effects and eventually damage the tissues and organs. Diet and lifestyle interventions help to relieve the disease symptoms, increase mobility, enhance wellbeing, and expedite treatment process. A healthy diet recovers the gut and reduces inflammation in the body which aids to relieve the symptoms of the disease, reducing pains, and increasing strength. Healthy lifestyle choices are beneficial for stress reduction to provide a positive environment for the body and mind to heal naturally. There is a lot of research yet to be done in this area based on Deep Learning techniques. This paper intends to find the impact of diet and lifestyle interventions in autoimmune diseases using Deep Learning algorithms for better understanding to individuals who are seeking help to lead a healthy life. WEKA open-source software tool is used in this article to create models based on Deep Learning techniques such as ANNs, CNNs, and RNNs. Datasets were downloaded from Centres for Disease Control and Prevention (National Center for Chronic Disease Prevention and Health Promotion).