BUDA Apps Portfolio

Public portfolio page highlighting BUDA applications through project summaries, feature lists, and demo videos.

Source code is intentionally private due to proprietary and copyright considerations.

Private repositories Public demos Feature overviews Project highlights

Projects

TradutorBUDA

Java-based Tibetan translation and text-processing application focused on Buddhist terminology workflows. It combines dictionary lookup, tokenization, transliteration, ranking/model services, and optional OCR-related utilities.

Tech: Java 21, Maven, SQLite, ONNX Runtime, tokenizers, Transformer (NllB, mBert), OCR utilities (CNN Model, NumPy, etc...)

  • Tibetan term lookup and processing workflows
  • Word-breaking and Tibetan text utilities
  • Model/ranking and OCR-related optional integrations

GlossarioBUDA (Simplified)

Simplified glossary application retaining the core term management features without experimental OCR integration.

Tech: Java 21, SQLite, SWT, XML processing, SupaBase Real-Time Sync.

  • Add, edit, delete, and search Buddhist terms
  • Supports Tibetan, Sanskrit, Pali, English, Portuguese
  • XML import, WhatsApp-friendly export, always-on-top quick view

Tibetan OCR — CNN & Transformer Research

Deep learning research project comparing lightweight CNN and CNN+Transformer hybrid architectures for Tibetan character OCR. Focused on replacing hand-crafted OCR pipelines with learned convolutional and attention-based feature extraction.

Tech: PyTorch, CNNs, Transformers, ONNX, INT8 Quantization, Gradio, Hugging Face Spaces, Mixed Precision Training

  • 95.52% validation accuracy on 1,020 Tibetan character classes
  • Lightweight CNN and CNN+Transformer hybrid comparison
  • Interactive deployment using Hugging Face Spaces

Private Source Policy

The software is demonstrated publicly via videos and summaries while full source repositories remain private.

  • Public: demos, features, architecture summaries
  • Private: full implementation and proprietary assets
  • Contact available for follow-up

Contact

Name: Tashi Rabten

Email: Tashi.Rabten.Programming@gmail.com

GitHub: github.com/TashiRabten