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In this project, we are creating a conversational chat bot where the user communicates with the bot using speech and the model returns both speech and text output. The frontend was built using ReactJS and backend using FlaskAPI.

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vksuvam/Railwaychatbot

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Railwaychatbot

In this project, we are creating a conversational chat bot where the user communicates with the bot using speech and the model returns both speech and text output. The frontend was built using ReactJS and backend using FlaskAPI.

Tools/Models Used: Whisper (OpenAI), LangChain, M2M100, Text2Speech model

WorkFlow

Copy of Subjective answer evaluation using NLP

Architecture

Copy of Subjective answer evaluation using NLP (1)

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In this project, we are creating a conversational chat bot where the user communicates with the bot using speech and the model returns both speech and text output. The frontend was built using ReactJS and backend using FlaskAPI.

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