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1. CSV-Retrival-Based-RAG CSV-Retrival-Based-RAG Public

   Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for qui…

   Python

2. Text-to-SQL Text-to-SQL Public

   Built a text-to-SQL system that takes natural language questions from users, converts them into SQL queries, runs them on a connected database, and returns the results. Makes it easy to query struc…

3. Voice-to-Text Voice-to-Text Public

   Built a multilingual voice-to-text conversation analysis system for doctor-patient interactions. It uses the Whisper model to transcribe spoken dialogues in various languages, then applies an OpenA…

4. Wikipedia-based-RAG Wikipedia-based-RAG Public

   Developed a RAG system that pulls content from a single Wikipedia page to answer user questions. It extracts the most relevant sections and passes them to an LLM for generating responses. Great for…

   Python