World-of-AI
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adithya-s-k
Diet Recommendation for Pregnant Women based on several factors
Project Request
Develop a pregnancy diet recommendation system that suggests suitable food items for pregnant women based on their personal characteristics, dietary restrictions, nutritional needs, and pregnancy stage. The system should handle multi-label classification, as pregnant women may have multiple dietary preferences and nutritional requirements during different stages of pregnancy.
| Field | Description |
|---|---|
| Github | Nabanita29 |
| [email protected] | |
| Label | Project Request |
Define You*
- [x] GSSOC Participant
- [x] Contributor
Project Name
Diet recommendation system for pregnancy
Description
The solution involves collecting a comprehensive dataset with pregnant women's characteristics, pregnancy stage, dietary restrictions, nutritional needs, and food items with nutritional information. The data will be preprocessed to handle missing values, encode categorical variables, and scale numerical features. Multiple multi-label classification models, including Random Forest, will be evaluated and trained on the dataset. Hyperparameter tuning will be performed to enhance model performance.
