MomCare - Maternal Healthcare App

Application Screenshots

🏠 Home Page

✨ Features Overview

🍎 Calorie Estimator

🩸 Blood Donor Finder

🔬 Skin Disease Classification

🔍 Image Search & Semantic Search

A comprehensive Next.js application designed specifically for expectant mothers, providing essential healthcare services including medication tracking, prescription analysis, skin disease classification, blood donor location, and AI-powered calorie estimation.

🚀 Features

Service	Description
🏥 Medicine Store	Access pregnancy-safe medications database
📅 Medicine Dates	Track medication expiry dates and set reminders
🔬 Skin Disease Classification	AI-powered skin condition analysis
📋 Prescription Analyzer	Digital prescription analysis and management
🍎 Calorie Estimator	AI-powered food recognition and calorie estimation
🩸 Find Blood Donor	Interactive map for locating blood donors

🛠️ Tech Stack

Frontend

• Next.js 15 - React framework with App Router
• React 18 - UI library with hooks
• TypeScript - Type safety
• Tailwind CSS - Utility-first CSS framework
• GSAP - Animation library
• Radix UI - Accessible component primitives
• Lucide React - Icon library

Backend Services

• FastAPI - Python web framework
• Hugging Face Transformers - AI model pipeline
• Spoonacular API - Nutrition data
• PIL - Image processing

📦 Installation

Prerequisites

• Node.js 18+ and npm
• Python 3.8+
• pip (Python package manager)

Quick Start

# 1. Clone the repository
git clone <repository-url>
cd momcare-latest

# 2. Install frontend dependencies
npm install

# 3. Setup Python microservices
cd momCareFoodAPI
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt

cd ../momCareSkinAPI
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt

# 4. Return to root and start the application
cd ..
npm run dev-all

🚀 Running the Application

Option 1: Run Everything Together (Recommended)

npm run dev-all

Starts both Next.js frontend and Python microservices concurrently.

Option 2: Run Separately

Terminal 1 - Frontend:

npm run dev

Terminal 2 - Food API:

npm run start-python

Terminal 3 - Skin API (if needed):

cd momCareSkinAPI
python main.py

🌐 API Endpoints

Calorie Estimator

• POST /api/calorie-estimate
  • Upload food image as multipart/form-data
  • Returns: { "food": "Pizza", "calories_per_100g": 266, "confidence": 0.93 }

Python Microservices

• Food API: http://localhost:8000/api/calorie-estimate
• Skin API: http://localhost:8001/api/skin-classification

📱 Usage

Calorie Estimator

1. Navigate to /services/calorie-estimator
2. Upload a food image using drag-and-drop or file selector
3. Click "Estimate Calories" to analyze
4. View results showing detected food, calories per 100g, and confidence

Other Services

• Access via sidebar navigation or service cards
• Each service provides specialized pregnancy-related healthcare tools

🔧 Configuration

Environment Variables

Create a .env.local file in the root directory:

NEXT_PUBLIC_API_URL=http://localhost:3000

API Keys

• Spoonacular API: 34827ffe67c644eabaa3459cefebfec6
• Hugging Face Model: nateraw/food-101 (automatic download)

🐛 Troubleshooting

Common Issues

Python Dependencies:

pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu