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.
