Mapleford Request Triage
Group: Use Case
|Product Category: AI Engineering
|Sub Category: AI Engineer
Solution Available
Source code, datasets, and other related files for the solution will be provided.
About this Product
Project Overview
Mapleford Residential relies on manual processes to categorize tenant service requests and assess urgency, often resulting in inconsistent prioritization and duplicate tickets.
Build a Python-based LLM-powered Service Request Triage Tool that processes tenant requests from CSV files, classifies issues, assigns urgency levels, and identifies potential duplicates.
Key Features
Request Classification: Use an LLM to extract categories, urgency levels, and summaries in structured JSON format.
Validation & Error Handling: Validate model responses and retry when outputs are invalid.
Duplicate Detection: Generate text embeddings and compare requests against existing open tickets using similarity thresholds.
Triage Reporting: Generate a JSON report and display a processing summary in the console.
Technology Stack
Python, LLM API, CSV, JSON, text embeddings, and similarity metrics.
Learning Outcomes
Practise prompt engineering, LLM API integration, response validation, embedding-based similarity, and threshold-based decision-making.
Final Deliverable
A working Python CLI tool that automates request triage and duplicate detection, reducing manual effort and supporting future document-processing workflows.
Interview Q&A Included
-
Included with this lab
LLM Powered Service Request Triage: Technical Interview Assessment
This assessment evaluates your knowledge of building an LLM-powered Service Request Triage Tool using Python. It covers request validation, prompt engineering, JSON response parsing and repair retries, embedding-based similarity, duplicate …
51 questions
Resources
The complete Mapleford Request Triage Business Requirements Document (BRD) is available as a Read-Only attachment. It provides the complete project specification, including the business context, objectives, scope, requirements, use cases, domain concepts, and design expectations. Review the BRD carefully before starting the implementation.
Asset Contents:
- Project overview and business objectives
- In-scope and out-of-scope definitions
- Functional and non-functional requirements
- Key use cases and business workflows
- Domain model, entities, and core concepts
- Design and implementation requirements
- Requirements traceability and supporting documentation
Project Mentors
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