Chatbot for Customer Support

    Built an NLP-based chatbot for automating FAQs and ticket generation, deployed using Flask.

    Muhammad Zeeshan

    Technologies Used

    Python
    NLTK
    spaCy
    Flask
    SQLite
    Rasa
    TensorFlow

    Key Features

    1

    Intent recognition and entity extraction

    2

    FAQ automation with 90% accuracy

    3

    Automatic ticket generation for complex queries

    4

    Conversation history tracking

    5

    Multi-language support

    6

    Admin dashboard for analytics

    Implementation

    Developed an NLP chatbot using Rasa framework with custom intent classification, entity recognition, and dialogue management. Integrated with ticketing system for seamless escalation of complex queries.

    Results & Impact

    Reduced customer support response time by 70%. Successfully handled 10,000+ queries with 85% resolution rate without human intervention.