https://github.com/anushkapal28/maatri-care

MaatriCare is an AI-based healthcare application designed to provide personalized nutrition advice and maternal care recommendations for pregnant women, lactating mothers, and women in general.
https://github.com/anushkapal28/maatri-care

gemini-api jupyter-notebook labelencoder numpy pandas python3 random-forest streamlit svm-training

Last synced: 9 months ago
JSON representation

MaatriCare is an AI-based healthcare application designed to provide personalized nutrition advice and maternal care recommendations for pregnant women, lactating mothers, and women in general.

• Host: GitHub
• URL: https://github.com/anushkapal28/maatri-care
• Owner: anushkapal28
• Created: 2025-05-30T05:55:40.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-06-13T08:44:02.000Z (about 1 year ago)
• Last Synced: 2025-08-13T02:56:30.588Z (10 months ago)
• Topics: gemini-api, jupyter-notebook, labelencoder, numpy, pandas, python3, random-forest, streamlit, svm-training
• Language: Jupyter Notebook
• Homepage: https://maatri-care.streamlit.app/
• Size: 1.08 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# 🤰 MaatriCare – Personalized AI-Based Nutrition & Maternal Care

MaatriCare is an AI-powered healthcare solution that provides **personalized nutrition plans** and **maternal care recommendations** for women, especially pregnant and lactating mothers. Built with Streamlit, Google Gemini API, and AI/ML models, MaatriCare makes healthcare advice accessible, personalized, and easy to understand.

---

## 🌟 Features

- ✅ **Personalized Nutrition Plans**

- ✅ **Maternal Care Recommendations**

- ✅ **Stage-specific Dietary Guidance (Pre-natal, Post-natal, Lactation)**

- ✅ **Google Gemini AI Integration**

- ✅ **User-Friendly Streamlit Interface**

- ✅ **Multi-Language Support (Includes Hindi prompts)**

---

## 🛠️ Tech Stack

- Python

- Streamlit

- Google Generative AI (Gemini API)

- Pandas

- Pickle (for ML model storage)

- dotenv (for secure API key management)

---

## 🚀 Installation

1. Clone the Repository:

```bash

git clone https://github.com/your-username/maatricare.git

cd maatricare