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OVERVIEW
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AI Ticket Classifier is a production-grade, ML + NLP powered system
that eliminates the manual overhead of support ticket triage.
Drop in a ticket — get instant category classification,
recommended solutions, and Slack alerts, all in one pipeline.
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PIPELINE
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[ Incoming Ticket ]
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[ Preprocessor ] ───── Tokenize · Clean · Normalize
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[ ML / NLP Model ] ──── Classification Engine
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┌─────────┴─────────┐
v v
[ Category Tag ] [ Recommended Solution ]
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v v
[ Dashboard ] [ Slack Alert ]
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HOW IT WORKS
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| Step |
Stage |
Description |
| 01 |
Input |
Paste or upload a support ticket — plain text or CSV |
| 02 |
Clean |
Text preprocessed: lowercasing, stopword removal, tokenization |
| 03 |
Vectorize |
Cleaned text converted to feature vectors via TF-IDF |
| 04 |
Classify |
ML model predicts the ticket category with a confidence score |
| 05 |
Recommend |
Relevant solutions surfaced from the knowledge base instantly |
| 06 |
Analyze |
Content Gap Analysis flags areas with no matching solutions |
| 07 |
Alert |
Slack notification dispatched with category and priority |
| 08 |
Dashboard |
Streamlit GUI renders results, stats, and exportable reports |
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WHERE IT HELPS
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| Industry |
Application |
| IT Help Desks |
Auto-classify and route support requests without manual triaging |
| E-commerce |
Billing, shipping, and account issues sorted instantly |
| Healthcare |
Patient query categorization at scale |
| Education |
Student issue triage without manual overhead |
| Call Centers |
Prioritize and route customer complaints automatically |
| Knowledge Base Teams |
Content Gap Analysis surfaces what is missing in your docs |
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