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AR Framework for 3D Model Generation
Open-source augmented reality framework that generates 3D models from uploaded 2D images using deep learning and displays them in real-world environments. Supports markerless object placement with Visual SLAM for stable, real-world-scale visualization through a cross-platform mobile app and cloud-native backend.
University Project
Overview
Project Summary
Open-source augmented reality framework that generates 3D models from uploaded 2D images using deep learning and displays them in real-world environments. Supports markerless object placement with Visual SLAM for stable, real-world-scale visualization through a cross-platform mobile app and cloud-native backend.
Key Highlights
- Converts 2D images to 3D models using PyTorch, TensorFlow, and OpenCV
- Enables markerless AR placement and stable object tracking with Visual SLAM
- Cross-platform mobile application built with Flutter and Dart
- Cloud-native architecture with Golang/Python services on Docker and Kubernetes
Contact
Let's build something
Open to full-stack roles and collaborations. radeesha2323@gmail.com