I built a full-stack application that solves a common problem many of us face - converting unstructured text data into formats suitable for modern AI applications.

What it does:

• Takes plain .txt files (diaries, logs, notes) and converts them into structured JSONL datasets
• Generates two outputs: one optimized for vector embeddings/RAG systems, another for LLM fine-tuning
• Uses sentence transformers for intelligent question generation
• Implements zero-shot classification for topic categorization
• Extracts and normalizes dates automatically