Case: AI Resume Processing Automation

Case: AI resume processing automation — 93% accuracy, 5× HR time savings. Any format to one corporate standard — AI Solutions Hub.

Case: resume processing automation with AIHub

HRLLM / OCR

Task. The HR department processed resumes in dozens of formats (.rtf, .doc/.docx, .pdf, scans). Bringing each resume to the corporate template took up to an hour of manual work.

Solution

We implemented automation on the AIHub platform: an AI model with OCR extracts data from any file format, structures it and generates a standardized resume in the corporate template. HR only reviews the result.

Results

93%resume generation model accuracy

5×HR time savings on resume processing

100%of resumes converted to the corporate format

Technologies: AIHub, LLM, OCR (Tesseract/PaddleOCR), FastAPI.

Project stages

Process mapping (1 week) — recruitment funnel and screening-criteria analysis.
Model setup (2–3 weeks) — CV parsing, ranking and multilingual summarisation.
Integration (1–2 weeks) — ATS/HRM connection and recruiter workflows.
Calibration — quality review with HR, bias and accuracy controls.

Where this applies

Resume automation helps HR teams at banks in Astana, IT companies in Bishkek, and retail chains in Tashkent hiring at scale. See AI systems & chatbots.

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