
Bobble-AI
None
Stars: 68

AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.
README:
π A Mobile Application built with HTML, CSS, JavaScript, and Google API, designed to notify patients of nearby hospitals and provide estimated ambulance arrival times. π₯ It offers hospitals and ambulance drivers critical details like the patientβs location π and enhances GPS route management with real-time traffic data π¦ for scheduled routes, ensuring efficient navigation.
π Stars | π΄ Forks | π Issues | π Open PRs | π Close PRs |
- DESCRIPTION
- Why We Need This Application
- Problem Statement
- Solution
- Key Features
- Contributing
- Contribution Guidelines
- Tech Stack
- User-Friendly Experience
- Future Enhancements
- Our Valuable Contributors
- Team
A mobile app using HTML, CSS, JavaScript, and Google API that helps users find nearby hospitals and track ambulances in real-time. It shows hospital locations, provides directions, and helps manage ambulance routes based on traffic and distance.
Please check out the Screenshots.md for more clarity on the description of the project.
- Quick Emergency Response: Ensures patients receive timely medical assistance by locating the nearest hospitals and ambulances.
- Real-Time Tracking: Provides real-time updates on ambulance locations and traffic conditions, optimizing route management.
- Enhanced Communication: Facilitates seamless communication between patients, hospitals, and ambulance drivers.
- Resource Management: Helps hospitals manage their resources efficiently by providing critical information and analytics.
- User-Friendly Interface: Designed for ease of use, ensuring that even in high-stress situations, users can navigate the app effortlessly.
While having the name and address of a hospital is useful, visualizing it on a map with precise directions is even more effective. This app aims to bridge that gap by delivering real-time location data and navigation assistance, ensuring users find the nearest hospital quickly and with ease. π
In emergencies, time is of the essence. Quickly identifying the nearest hospital can be life-saving. This app provides that immediate support.
Visual information is key. Beyond just showing names and addresses, the app provides a map view with directions, offering users an intuitive way to locate nearby hospitals with ease.
This app offers a comprehensive list of nearby hospitals with essential details such as addresses, contact numbers, and user ratings. Users can filter based on hospital specialties, helping them find the appropriate medical help efficiently.
The built-in map feature shows exact hospital locations, provides directions, and highlights landmarks and real-time traffic conditions. This ensures users can navigate unfamiliar areas and choose the fastest route to get the care they need, right when they need it.
- π Registration & Sign-In: Operators can create accounts and securely log in for system access.
- π Location Sharing: Operators can share their real-time location for precise tracking and coordination.
- π¨ Service Request: Users can request ambulance services with just a few taps.
- π₯ Hospital Info: Retrieve details on nearby hospitals and available ambulances.
- π Real-Time Ambulance Tracking: Users can track the availability of ambulances to ensure timely assistance.
- π‘ GPS-Enabled Tracking: Monitors ambulances in real-time for optimal tracking and coordination.
- π Hospital Alerts: Sends patients notifications about nearby hospitals for quicker medical assistance.
- π¦ Distance & Traffic Analysis: Calculates the fastest routes based on real-time traffic and distance.
- π§βπΌ Driver Management: Streamlines driver schedules and activities for efficient ambulance deployment.
We welcome all contributions from the open-source community! If you'd like to contribute, follow these steps:
- Fork the repository:
git clone https://github.com/yourusername/AmbuFlow.git
- Create a new feature branch:
git checkout -b feature/your-feature-name
- Commit your changes:
git add .
git commit -m "Add feature description"
- Push to the branch:
git push origin feature/your-feature-name
- Open a Pull Request: Go to your forked repo on GitHub and click "New Pull Request."
- Go to Backend folder and run command:
npm install
-
Make mongodb database.
-
Go to server.js file and give your mongodb connection URL.
-
Run command:
node server.js
-
Split terminal and go to index.html and open it with live server.
-
make sure that both Backend and index.html file run togethere.
We welcome all contributions to improve AmbuFlow! If you would like to contribute, please follow the Contributing.md to know how to get started.
To maintain quality and consistency, please follow these best practices:
- Code Style: Write clean, readable code following the project's coding style. Comments are highly appreciated.
- Commits: Use meaningful commit messages that clearly describe the purpose of the changes.
- Pull Requests: Keep PRs focused, well-explained, and reference any relevant issues.
- Testing: Ensure all changes are thoroughly tested locally and do not break existing functionality.
Refer to CODE_OF_CONDUCT.md for details on our community guidelines.
- Google API Keys π: These are also used to access various Google services programmatically, such as Google Maps, Google Drive, etc.
This app is designed to be user-friendly, ensuring a seamless experience for both patients and ambulance drivers. The intuitive interface and real-time updates make it easy to navigate and use, even in high-stress situations.
- Integration with Emergency Services for faster response times.
- Real-Time Communication between patients and ambulance drivers.
- Advanced Analytics for hospitals to manage resources efficiently.
Mansi Ruhil Project Admin |
If you find this project helpful, please consider giving it a star on GitHub! Your support helps the project grow and reach more contributors.
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for Bobble-AI
Similar Open Source Tools

Bobble-AI
AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.

cherry-studio
Cherry Studio is a desktop client that supports multiple LLM providers on Windows, Mac, and Linux. It offers diverse LLM provider support, AI assistants & conversations, document & data processing, practical tools integration, and enhanced user experience. The tool includes features like support for major LLM cloud services, AI web service integration, local model support, pre-configured AI assistants, document processing for text, images, and more, global search functionality, topic management system, AI-powered translation, and cross-platform support with ready-to-use features and themes for a better user experience.

TaskingAI
TaskingAI brings Firebase's simplicity to **AI-native app development**. The platform enables the creation of GPTs-like multi-tenant applications using a wide range of LLMs from various providers. It features distinct, modular functions such as Inference, Retrieval, Assistant, and Tool, seamlessly integrated to enhance the development process. TaskingAIβs cohesive design ensures an efficient, intelligent, and user-friendly experience in AI application development.

griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.

JamAIBase
JamAI Base is an open-source platform integrating SQLite and LanceDB databases with managed memory and RAG capabilities. It offers built-in LLM, vector embeddings, and reranker orchestration accessible through a spreadsheet-like UI and REST API. Users can transform static tables into dynamic entities, facilitate real-time interactions, manage structured data, and simplify chatbot development. The tool focuses on ease of use, scalability, flexibility, declarative paradigm, and innovative RAG techniques, making complex data operations accessible to users with varying technical expertise.

Simplifine
Simplifine is an open-source library designed for easy LLM finetuning, enabling users to perform tasks such as supervised fine tuning, question-answer finetuning, contrastive loss for embedding tasks, multi-label classification finetuning, and more. It provides features like WandB logging, in-built evaluation tools, automated finetuning parameters, and state-of-the-art optimization techniques. The library offers bug fixes, new features, and documentation updates in its latest version. Users can install Simplifine via pip or directly from GitHub. The project welcomes contributors and provides comprehensive documentation and support for users.

aibrix
AIBrix is an open-source initiative providing essential building blocks for scalable GenAI inference infrastructure. It delivers a cloud-native solution optimized for deploying, managing, and scaling large language model (LLM) inference, tailored to enterprise needs. Key features include High-Density LoRA Management, LLM Gateway and Routing, LLM App-Tailored Autoscaler, Unified AI Runtime, Distributed Inference, Distributed KV Cache, Cost-efficient Heterogeneous Serving, and GPU Hardware Failure Detection.

heurist-agent-framework
Heurist Agent Framework is a flexible multi-interface AI agent framework that allows processing text and voice messages, generating images and videos, interacting across multiple platforms, fetching and storing information in a knowledge base, accessing external APIs and tools, and composing complex workflows using Mesh Agents. It supports various platforms like Telegram, Discord, Twitter, Farcaster, REST API, and MCP. The framework is built on a modular architecture and provides core components, tools, workflows, and tool integration with MCP support.

kserve
KServe provides a Kubernetes Custom Resource Definition for serving predictive and generative machine learning (ML) models. It encapsulates the complexity of autoscaling, networking, health checking, and server configuration to bring cutting edge serving features like GPU Autoscaling, Scale to Zero, and Canary Rollouts to ML deployments. KServe enables a simple, pluggable, and complete story for Production ML Serving including prediction, pre-processing, post-processing, and explainability. It is a standard, cloud agnostic Model Inference Platform for serving predictive and generative AI models on Kubernetes, built for highly scalable use cases.

pipeshub-ai
Pipeshub-ai is a versatile tool for automating data pipelines in AI projects. It provides a user-friendly interface to design, deploy, and monitor complex data workflows, enabling seamless integration of various AI models and data sources. With Pipeshub-ai, users can easily create end-to-end pipelines for tasks such as data preprocessing, model training, and inference, streamlining the AI development process and improving productivity. The tool supports integration with popular AI frameworks and cloud services, making it suitable for both beginners and experienced AI practitioners.

rocketnotes
Rocketnotes is a web-based Markdown note taking app with LLM-powered text completion, chat and semantic search. It utilizes a 100% serverless RAG pipeline build with langchain, sentence-transformers, faiss and OpenAI or Anthropic API.

refact
This repository contains Refact WebUI for fine-tuning and self-hosting of code models, which can be used inside Refact plugins for code completion and chat. Users can fine-tune open-source code models, self-host them, download and upload Lloras, use models for code completion and chat inside Refact plugins, shard models, host multiple small models on one GPU, and connect GPT-models for chat using OpenAI and Anthropic keys. The repository provides a Docker container for running the self-hosted server and supports various models for completion, chat, and fine-tuning. Refact is free for individuals and small teams under the BSD-3-Clause license, with custom installation options available for GPU support. The community and support include contributing guidelines, GitHub issues for bugs, a community forum, Discord for chatting, and Twitter for product news and updates.

replexica
Replexica is an i18n toolkit for React, to ship multi-language apps fast. It doesn't require extracting text into JSON files, and uses AI-powered API for content processing. It comes in two parts: 1. Replexica Compiler - an open-source compiler plugin for React; 2. Replexica API - an i18n API in the cloud that performs translations using LLMs. (Usage based, has a free tier.) Replexica supports several i18n formats: 1. JSON-free Replexica compiler format; 2. .md files for Markdown content; 3. Legacy JSON and YAML-based formats.

superflex-vscode
Superflex is an AI frontend assistant that streamlines frontend development by converting Figma designs, images, and prompts into production-ready code in seconds. It ensures design standards and coding style are maintained, offering features like generating entire page layouts from Figma, a new chat UI, enhanced usability with shortcuts and profiles, and the ability to add code snippets or files to the chat context seamlessly. Superflex saves time by automating repetitive coding tasks, promotes code consistency, and is beginner-friendly for designers or developers new to front-end work.

koog
Koog is a Kotlin-based framework for building and running AI agents entirely in idiomatic Kotlin. It allows users to create agents that interact with tools, handle complex workflows, and communicate with users. Key features include pure Kotlin implementation, MCP integration, embedding capabilities, custom tool creation, ready-to-use components, intelligent history compression, powerful streaming API, persistent agent memory, comprehensive tracing, flexible graph workflows, modular feature system, scalable architecture, and multiplatform support.

CHATPGT-MEV-BOT
The πππ₯-πππ£ is a revolutionary tool that empowers users to maximize their ETH earnings through advanced slippage techniques within the Ethereum ecosystem. Its user-centric design, optimized earning mechanism, and comprehensive security measures make it an indispensable tool for traders seeking to enhance their crypto trading strategies. With its current free access, there's no better time to explore the πππ₯-πππ£'s capabilities and witness the transformative impact it can have on your crypto trading journey.
For similar tasks

Bobble-AI
AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.
For similar jobs

Bobble-AI
AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.