🌐 NAV!GO - Advanced Indoor Navigation with 3D Mapping: Integrating SLAM-ORB and ARKit for Accurate Mapping 🗺️🧭

Welcome to the NAVIGO project! 🚀
An innovative multiplatform navigation system designed to simplify navigation using both 2D and 3D models. Whether you're exploring a city, navigating indoors, or traversing complex terrains, NAVIGO brings you closer to your destination with cutting-edge technology and seamless experiences.

---

2D Link : https://navigo-sigma.vercel.app/

---

📌 Table of Contents

1. About the Project
2. Key Features
3. Technologies Used

---

📝 About the Project

NAVIGO is a versatile navigation solution designed to support both 2D maps and 3D environment navigation. By leveraging computer vision and real-time location data, the application provides users with an intuitive way to explore and navigate complex environments. NAVIGO aims to enhance the navigation experience by combining 2D maps for simplicity and 3D models for precision.

🎯 Objectives

• Develop a user-friendly multi-platform app.
• Provide both 2D navigation (Google Maps integration) and 3D navigation (custom AR/VR models).
• Dynamic 3D model generation using LiDAR for iOS devices.
• Cross-platform compatibility (iOS, Android, Web).

---

✨ Key Features

• 🗺️ 2D Navigation: Traditional map-based navigation using APIs like Google Maps.
• 🛠️ 3D Scanning & Modeling: Use LiDAR sensors to scan environments and create dynamic 3D models.
• 📱 Cross-Platform Support: Available on iOS, Android, and Web browsers.
• 📡 Real-Time Updates: Location tracking and live updates for accurate navigation.
• 🔍 Search Functionality: Find places, landmarks, or specific routes effortlessly.
• 🎮 3D Navigation Mode: Immersive 3D experience using AR technologies.

---

🛠️ Technologies Used

• Frontend: ReactJS, SWIFT, SWIFT UI
• Backend: Node.js, Express.js
• Database: MongoDB
• APIs: Google Maps API, OpenStreetMap
• Computer Vision & AR: ARKit (iOS), LiDAR, OpenCV
• 3D Modeling: Blender
• Version Control: Git, GitHub

---