ChatBot

• Technology used: Artificial Intelligence, Gen AI,NLP , Web-Development

▪ Model Integration: Integrate ChatGPT to empower the chatbot with advanced conversational capabilities, leveraging NLP for nuanced understanding and generation of user queries into human-like responses.

▪ User Input Processing: Develop robust preprocessing mechanisms to interpret user inputs effectively, employing techniques like tokenization and feature extraction to optimize data preparation for the generative model, ensuring precise and meaningful responses.

▪ Response Generation: Utilize ChatGPT to dynamically generate responses based on user queries, employing methods like beam search for diverse and contextually relevant outputs, thereby enhancing conversational fluidity and user engagement.

▪ MongoDB Integration: Integrate MongoDB seamlessly to store user interactions, facilitating efficient storage and retrieval of chatbot conversations, timestamps, and metadata for comprehensive analysis and iterative improvement of the chatbot's performance.

▪ Error Handling and Logging: Implement error handling mechanisms to deal with unexpected user inputs or failures in response generation. Log user interactions, including both user queries and chatbot responses, to track the performance of the chatbot over time