AR Indoor Navigation
An indoor navigation project combining YOLOv8 room-tag detection, OCR and Unity-based AR navigation.
I'm Abhishek Rajbanshi, a Computer Engineer interested in software development, AI/computer vision, mobile apps, web technologies and practical business solutions.
I completed my Bachelor's in Computer Engineering from Tribhuvan University in Nepal, graduating in 2024 with 72% overall.
My work spans frontend development, backend systems, computer vision and applied AI. I enjoy taking an idea from a rough concept to something people can actually use.
Outside pure software development, I'm interested in technology, trading, business and digital marketing.
An indoor navigation project combining YOLOv8 room-tag detection, OCR and Unity-based AR navigation.
A Django-based password management system with authentication, password generation and encrypted password storage.
A web application concept helping farmers sell agricultural products through an auction workflow. I worked on the frontend.
A Flutter inventory application concept focused on local data storage, monthly opening and closing stock, sales and stock history.
Designed the user interface for an educational entertainment game as part of a team project.
Worked with image detection and OCR pipelines, including dataset preparation, augmentation and model training.
Python · Django · Dart · Flutter · JavaScript · React · HTML · CSS
YOLOv8 · OCR · EasyOCR · Tesseract · Roboflow · Google Colab
Unity · AR · NavMesh · A* · Git/GitHub · Excel · Canva · Overleaf
Experience around technology products, optical equipment, inventory and business operations, including products such as refractometers, digital lens meters, auto edgers, vision charts and slit lamps.
Built and contributed to projects across Django, React, Flutter, Unity, computer vision and OCR.