AI-Powered Chatbot Model for Customer Support

[ShaikArshidBanu]

Description:

AI-powered chatbot model for customer support using BERT embeddings and a neural network to classify intents and generate responses.

Motivation:

• Improve response times for customer inquiries.
• Reduce workload on human support agents.
• Provide consistent and reliable information.

Implementation Plan:

1. Set Up Environment:

• Install necessary libraries (numpy, pandas, scikit-learn, tensorflow, transformers).

2. Load and Prepare Data:

• Create/use a dataset with customer queries and intents.

3. Train Intent Classification Model:

• Encode intents, split data, tokenize queries, extract embeddings, and train a neural network.

4. Response Generation:

• Map classified intents to predefined responses.

@Niketkumardheeryan I am a GSSOC'24 contributor and would love to work on this issue.