An AI-Driven Context-Aware Dynamic Diet Recommendation System using Rule-Based Reasoning
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DimensionsPoornima, V. and R, SURESHBABU (2026) An AI-Driven Context-Aware Dynamic Diet Recommendation System using Rule-Based Reasoning. International Journal of Science, Strategic Management and Technology, 02 (04). pp. 1-9. ISSN 31081762
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Abstract
An AI-Driven Context-Aware Dynamic Diet Recommendation System using Rule-Based Reasoning
The growing importance of health awareness and personalized nutrition has led to the development of intelligent diet recommendation systems. This project presents an AI-driven context-aware dynamic diet recommendation system using knowledge-based reasoning to provide personalized dietary suggestions. The system collects user-specific data such as age, gender, height, weight, and activity levels to compute important health metrics including Body Mass Index (BMI) and Basal Metabolic Rate (BMR). Based on these calculations, the system estimates daily calorie requirements and distributes macronutrients accordingly.
05 1 2026 1 9 10.55041/ijsmt.v2i4.625 https://ijsmt.org/article/an-ai-driven-context-aware-dynamic-diet-recommendation-system-using-rule-based-reasoning/
| Item Type: | Article |
|---|---|
| Subjects: | Computer Science Engineering > Artificial Intelligence |
| Domains: | Computer Science |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 07 May 2026 10:53 |
| Last Modified: | 11 May 2026 04:39 |
| URI: | https://ir.vistas.ac.in/id/eprint/13921 |
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