BabyNest

 

     

Table of Contents

1. Overview
2. Features
3. Tech Stack
4. Usage
5. Components
6. Architecture
7. Contact

Overview

BabyNest is a minimalist React Native application designed to support expecting parents by tracking prenatal medical appointments, providing country-specific healthcare requirement notifications, and delivering AI-powered personalized recommendations. This intelligent pregnancy planner ensures parents stay informed, organized, and stress-free throughout their journey.

Features

• Automated Trimester Tracking: Keeps track of medical appointments based on the pregnancy timeline.
• Country-Specific Notifications: Alerts users about healthcare requirements specific to their region.
• Offline Access: Provides essential pregnancy care guidelines without requiring internet access.
• AI-Powered Assistant: Offers personalized recommendations, reminders, and scheduling assistance.

Tech Stack

• Frontend: React Native
• Backend: Flask (Python)
• AI & NLP: Python, LangChain
• Database: SQLite

Usage

• Open the mobile app on an emulator or device.
• Sign up and input the estimated due date to personalize your experience.
• Get notified of upcoming medical appointments and tasks.
• Access offline pregnancy care guidelines.
• Interact with the AI assistant for advice and recommendations.

Components

Frontend

• Built using React Native for a seamless mobile experience.
• Provides a clean and intuitive UI to track pregnancy milestones.
• Supports offline mode for essential features.

Backend

• Developed using Flask**(Python)** for fast and efficient API interactions.
• Handles appointment scheduling and task management.
• Provides data syncing when the user is online.

AI & NLP

• LangChain is used to power the AI assistant for personalized insights.
• Supports natural language queries to search for symptoms, medications, and appointments.

Database

• Uses SQLite for local data storage to support offline functionality.
• Stores user information, appointment schedules, and task lists.

Architecture

This diagram illustrates the architecture of BabyNest.

graph TD;
    %% Frontend in React Native
    subgraph Frontend["Frontend (React Native)"]
        D[BabyNest App] -->|Uses| E[react-native-sqlite-storage]
        D -->|Interacts with| F[Chatbot]
    end

    %% Local Storage (SQLite)
    subgraph Database["Local Database (SQLite)"]
        B[SQLite] -->|Stores & Retrieves| C[Appointments, Tasks, Due Date, Location]
    end

    %% Backend in Flask
    subgraph Backend["Main Backend (Flask)"]
        A[API Routes] -->|Syncs Data| B
        A -->|Provides Data to| D
    end
    
    %% LLM Agents & AI Processing
    subgraph AI["LLM Agents & AI Processing"]
        G[Local llm give response] -->|Indexes Data| H[ChromaDB]
    end

    %% Connections Between Components
    D -->|Reads & Writes Data| B
    A -->|Can Query AI Offline| G
    H -->|Provides Faster Query Results| F

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Contributing

We welcome contributions of all kinds! To contribute:

1. Fork the repository and create your feature branch (git checkout -b feature/AmazingFeature).
2. Commit your changes (git commit -m 'Add some AmazingFeature').
3. Run the development workflow commands to ensure code quality
4. Push your branch (git push origin feature/AmazingFeature).
5. Open a Pull Request for review.

If you encounter bugs, need help, or have feature requests:

• Please open an issue in this repository providing detailed information.
• Describe the problem clearly and include any relevant logs or screenshots.

We appreciate your feedback and contributions!

Contact

For any inquiries or support, please reach out to us on Discord.