I have created a ai powered chatbot to generate automated response to frequently asked questions in retail electronic company using an LLM Based chatbot
A rule-based and LLM-enhanced chatbot designed to help customers interact with an online electronics store. This chatbot can handle product queries, order placement, order tracking, return policies, payment methods, and warranty information.
- Ask about product specifications
- Place new orders
- Track existing orders
- Get return and refund policies
- Learn about payment options
- Check product warranties
- Handles multi-turn conversation context
- Uses Facebook's OPT-125M model to generate helpful, conversational responses
This chatbot integrates the OPT-125M (Open Pre-trained Transformer) model by Facebook for generating conversational responses. It enhances user interaction by making replies sound more natural and helpful.
- Python
- Transformers (Hugging Face)
- Regular Expressions
- Rule-based NLP
- Context tracking with custom
ChatbotContextclass - (Optional) Flask for Web Interface