Vitamin Deficiency

# Vitamin Deficiency Prediction Based on User Symptoms # ✅ **Vitamin Deficiency Prediction Based on Symptoms** A **machine-learning + rule-based** health-support system that identifies possible vitamin deficiencies based on symptoms that the user enters and provides: ✔ Predicted vitamin deficiency ✔ Food sources to correct the deficiency ✔ Daily lifestyle changes ✔ Supplement suggestions (non-medical, general) ✔ Preventive tips > **Important:** This is not a medical diagnosis system; it gives educational predictions. --- # 🧠 **How the System Works** There are two ways to build it: --- ## **1️⃣ Rule-Based Prediction System (Simple & Highly Accurate for Symptoms)** Each symptom is mapped to possible vitamin deficiencies. ### **Example Mapping** | Symptom | Possible Deficiency | | ------------------- | ------------------------- | | Hair loss | Vitamin B7 (Biotin), D, E | | Fatigue | B12, D, Iron | | Cracked lips | B2, B6 | | Vision problems | Vitamin A | | Weak immunity | Vitamin C, D | | Tingling hands/feet | B1, B6, B12 | | Bone/joint pain | Vitamin D, Calcium | | Dry skin | A, E | | Mouth ulcers | B9, B12 | The system checks all symptoms the user enters and predicts one or more deficiencies. --- ## **2️⃣ ML-Based Prediction (If You Want AI Model)** ### Dataset structure: | symptom1 | symptom2 | symptom3 | … | vitamin_deficiency | | ----------- | ------------ | -------- | ------- | ------------------ | | hair loss | fatigue | dry skin | … | Vitamin D | | mouth ulcer | cracked lips | … | Vit B12 | | Train using: ✔ Random Forest ✔ SVM ✔ Decision Trees ✔ Neural networks (simple MLP) --- # 🧰 **Project Workflow** 1. **User enters symptoms** Example: “fatigue, hair loss, tingling feet” 2. **Symptom → Deficiency Prediction** Using rule-based or ML model. 3. **Generate output:** * vitamin deficiency * recommended foods * lifestyle changes * supplement recommendations * warning when to see a doctor --- # 🎯 **Final Output Example** ### **Input:** *“Hair fall, fatigue, tingling feet”* ### **Prediction:** ➡ **Likely Vitamin B12 Deficiency** ➡ Possible: **Vitamin D**, **Biotin** --- ## 🥗 Food Suggestions ### **For Vitamin B12** * Eggs * Milk, curd * Fish (salmon, tuna) * Lean chicken * Fortified cereals ### **For Vitamin D** * Sunlight (morning 20 mins) * Mushrooms * Fortified milk * Egg yolk ### **For Biotin (B7)** * Almonds * Walnuts * Sweet potatoes * Whole grains --- ## 💊 Home Remedies (Non-Medical) * Include **curd + banana** for gut health * **1 tsp flaxseed** daily for skin & hair * **Moringa powder** (rich in B-complex) --- ## 🏃 Lifestyle Recommendations * 20–30 min morning sunlight daily * Reduce junk food & sugar * Follow regular sleep schedule (7–8 hrs) * Reduce stress with breathing exercises * Drink 2.5–3 liters of water daily --- ## ⚠ “When to See a Doctor” * Long-term numbness/tingling * Extreme fatigue * Unexplained weight loss * Severe hair loss --- # 🗂 Project Modules (for your academic submission) ### **1. Symptom Input Module** User enters symptoms via text or list checklist. ### **2. Preprocessing Module** Tokenize → map symptoms → dataset encoding. ### **3. Prediction Engine** * **Rule-based JSON** mapping * OR **ML model.pkl** prediction ### **4. Recommendation Module** * Food * Lifestyle * Remedies https://github.com/shivasaisanga/vitamin-deficiency-prediction-and-food-recommendation.git * Prevention tips ### **5. Report Generation** Shows final predicted deficiency with suggestions.