Projects

Selected data and software projects.

Work covering industrial workflows, quality monitoring, forecasting and machine-learning education.

MSM digital material requisition dashboard with analytics and forecasting
Final Year Project • In Development

MSM Digital Material Requisition System

Problem

Manual and spreadsheet-based requisitions can create duplicate entries, inconsistent records and limited status visibility.

Solution

A role-based workflow for submitting, approving and tracking material requests across departments.

Analytics roadmap

Demand forecasting, anomaly detection and delay-risk analysis are planned for the decision-support layer.

Expected value

More consistent records, clearer request status and better data for material planning.

PythonFastAPISQLJWTAnalyticsForecasting
Final year projectCurrently in developmentRole-based workflow
TexGauge IQ dashboard showing CV percent, G per Y percent, Hank Roving and pass status
Quality Monitoring

TexGauge IQ — Textile Quality Monitoring

Problem

Manual quality checks can slow feedback and make it harder to identify out-of-range results quickly.

Solution

A quality-monitoring workflow for card, breaker, finisher and simplex measurements with clear operator-facing status.

Key features

Sample weights, mean, CV%, G/Y%, Hank Roving, pass/fail status and serial-device integration.

Technology

Python, FastAPI, WebSocket, PySerial and statistical calculations.

PythonFastAPIWebSocketPySerialStatistics
4 process stagesSerial communicationPass/fail quality status
Machine Learning Atlas visual learning interface with model cards and learning path
Interactive ML Education

Machine Learning Atlas

Problem

ML concepts can feel fragmented when learners see formulas and algorithms without enough visual intuition.

Solution

A visual and interactive platform that organizes ML concepts, model explanations and experiments into a clearer learning flow.

Key features

Model learning pages, interactive labs, comparison views and examples that connect intuition with metrics.

Value

Helps students explore ML concepts in a more structured, visual and hands-on way.

Machine LearningJavaScriptVisualizationEducation
Production forecasting dashboard with historical and predicted production trend lines
Forecasting & EDA

Production Forecasting System

Problem

Production planning requires a clear view of historical patterns and expected output over useful time horizons.

Solution

A forecasting workflow with daily, weekly and monthly views supported by data cleaning and exploratory analysis.

Technology

Python, Pandas, Matplotlib and time-series analysis.

Output

Charts comparing historical production with forecast trends for planning review.

PythonPandasMatplotlibForecastingEDA
3 forecast horizonsDaily • weekly • monthlyHistorical + predicted trends