CampusLens
Mining the Hidden Problems of a Campus
A campus-friction intelligence system that turns scattered, anonymous student reports into multidimensional insight: which problems recur, where and when they cluster, and which conditions co-occur.
System Architecture
Data-mining and NLP architecture documented in the CampusLens repository.
Anonymous reports
Student issue reports enter the system through an anonymous reporting pipeline.
Data warehouse
Reports are cleaned, deduplicated, and stored in a reproducible data warehouse.
Text + image mining
NLP text classification and image analysis extract issue categories and attributes.
ML pattern discovery
Supervised and unsupervised learning identify recurring issues and co-occurrence patterns.
Decision dashboards
Spatial analysis and dashboards surface where, when, and which problems cluster on campus.
Multidimensional campus-friction intelligence from anonymous student reports.
Project Overview
CampusLens is a campus-friction intelligence system that turns scattered, anonymous student reports into multidimensional insight: which problems recur, where and when they cluster, and which conditions co-occur.
The system combines anonymous issue reporting with a reproducible data warehouse, text and image mining, supervised and unsupervised learning, spatial analysis, and decision-support dashboards.
The project uses NLP-based text classification to categorize reported issues, clustering to surface hidden patterns, and spatial analysis to map problem hotspots across campus infrastructure.
Built as an academic data-mining project; benchmark data is synthetic — stated clearly throughout the repository and documentation.
Problem
Campus operational issues are reported through fragmented channels with no systematic way to identify recurring problems, spatial clusters, or co-occurring conditions.
Solution
Built a data-mining pipeline combining NLP text classification, unsupervised clustering, and spatial analysis to convert anonymous reports into structured, actionable campus intelligence.