LLM-Based Subjective Answer Evaluation (DRF)
- AI/LLM
- Backend
In Progress · Django, Django REST Framework, LLM Inference (LLaMA-based), PostgreSQL
Overview
A Django REST Framework application for evaluating subjective interview answers using an LLM-based grading pipeline.
Problem
Subjective answers are time-consuming to grade and difficult to standardize at scale.
Solution
Designed an evaluation workflow that routes responses through an LLM-driven scoring mechanism and stores results for review.
Impact
Improved consistency and throughput of evaluation workflows while enabling audit-friendly storage of results.
Architecture
Reliability & Security
Production readiness and security practices applied to this project.
Deployment
Deployment approach depends on environment and stack.
Lessons Learned
Key takeaways from building and operating this system.
Next Steps
Possible follow-ups and improvements.