Many people neglect the quality of their dietary choices in today's fast-paced and stressful lifestyles, resulting in an alarming increase in fast-food consumption and the intake of harmful meals. This has led to a variety of health problems, including obesity, diabetes, and hypertension. As a result, there is an increasing need for people to eat balanced and nutritious meals in order to stay healthy. To address this, a plethora of applications are emerging to aid people in successfully monitoring and regulating their diets. This study presents an AI and machine learning-based diet planning system that uses data mining technologies to assist individuals in tracking and improving their health. The technology examines hidden trends and eating behaviors from many data sources and provides personalized suggestions based on individual eating habits and body statistics.A balanced diet examines not only the sufficient intake of vital nutrients but also the caloric intake in relation to calories burnt. Furthermore, diversifying food options is critical for lowering the risk of chronic illnesses. This study focuses on forecasting healthy meals suited to individual needs, which will help healthcare providers build personalized diet regimens for patients. This research emphasizes the crucial role of AI and machine learning in revolutionizing diet planning, emphasizing the need to adopt healthy eating habits to reduce health risks. It emphasizes the need for personalized dietary advice and the possibility of AI and ML to achieve this objective.