Researcher.AI

Unlocking Insights & Empowering Decisions for the World of Textiles

This project aims to provide an automated platform for responding to user queries on textile prices. These price data could be maintained as database tables & it strives to provide a conversational chatbot platform to query this master data to retrieve sensitive information such as types of textile, prices, locations, shipment types etc.

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Tech Stacks Used

ReactjsReactjs
PythonPython
ChatGPTChatGPT
MongoDBMongoDB

Benefits

  • Contextual Chatbot
  • Process Efficiencies
  • Reduced Manual Effort

Features

Chatbot is integrated with enterprise website as a widget type add-in.

Large Language Model (ChatGPT 4.0) has been applied, to query tabular datasets.

User friendly frontend to help gather the questions from the users.

The ChatGPT agent accepts user input as a prompt.

Response is returned to user as a conversational message.