ProjectMayhemAutomotive builds AI-driven systems for vehicle safety complaints, predictive diagnostics, and manufacturing quality insights.
The organization focuses on transforming unstructured customer feedback into actionable engineering and manufacturing decisions.
Our repositories together form a closed-loop automotive intelligence pipeline — from complaint intake to RCA/CAPA and predictive analytics.
An AI-powered chatbot for collecting and structuring vehicle safety complaints through natural language conversations.
- Intelligent extraction and validation of complaint details
- Context-aware understanding using LLMs and RAG
- Structured data generation for downstream analytics
Tech: Python
The analytical backbone of the platform, responsible for processing structured and unstructured vehicle data.
- Real-time diagnostic capabilities
- Batch-based machine learning and deep learning pipelines
- Supports predictive maintenance and failure forecasting
Tech: Jupyter Notebook, Python
An automated RCA / CAPA analytics pipeline for manufacturing and quality teams.
- Complaint clustering and defect pattern detection
- Severity and trend analysis
- Generation of professional, executive-ready reports
Tech: Python
