The problem Lev- A Hospital Management System solves

The idea contains broadly 4 aspects the mobile app part,web part the physical hardware and the ml model and is based on health care system

1. Mobile App:

Development Framework: Flutter
Backend: Firebase for authentication, data storage, and real-time updates
API Integration: Node.js for creating RESTful APIs
Database: Firebase Firestore for storing user data and health parameters

2. Web App:

Frontend: React with Next.js for server-side rendering (for some elements)
Backend: Node.js for server logic
Database: Firebase Firestore (shared with the mobile app) for user and health data

3. Machine Learning Model:

Machine Learning Libraries: TensorFlow for building and training disease detection models, Hugging Face for natural language processing (NLP) tasks, and other neural network libraries.
Data Processing: Python for data preprocessing and model training

4. IoT Hardware:

Sensors: Various health sensors (e.g., blood pressure, glucose) compatible with IoT platforms like Raspberry Pi or Arduino for data collection.
Data Transmission: Connectivity options like Wi-Fi, Bluetooth, or IoT-specific protocols to send data to the cloud or the user's devices.
This tech stack covers the essential components needed for your project, ensuring efficient development and functionality across the mobile app, web app, ML model, and IoT hardware. It's a good starting point, and you can further refine it based on specific requirements and technologies as your project progresses.

Challenges we ran into

The main challange we ran into were rendering issues when we tried to render stuff it just keep disappearing also linking firebase for a bit was also a tuff part.