AI-Powered IT Helpdesk Chatbot for Automated Support and Faster Ticket Resolution

Problem: Traditional IT helpdesks struggle with high ticket volumes and slow resolution times.

Outcome: Develop an AI chatbot to automate IT support queries, reducing response time and workload for IT teams.

Week 1-2: Research & Requirement Analysis

Identify common IT helpdesk issues and user requirements.

Study chatbot development platforms (Dialogflow, Rasa, IBM Watson).

Week 3-4: Data Collection & NLP Model Training

Gather historical IT support queries.

Train NLP models for intent recognition.

Week 5-6: Chatbot Development & Integration

Develop chatbot with AI-driven responses.

Integrate with existing ITSM platforms (ServiceNow, Jira).

Week 7-8: Testing & Refinement

Conduct user testing and refine chatbot accuracy.

Improve response handling based on feedback.

Week 9-10: Security & Deployment Planning

Ensure secure handling of IT queries.

Deploy chatbot in a test environment.

Week 11-12: Documentation & Final Presentation

Prepare final report on chatbot performance and improvements.

Present findings to IT teams or management.