Automate Accurate Resume Data Extraction
Budget: ₹600 – ₹1,500 INR
I have roughly 100,000 resumes that must be mined for four fields only: candidate name, phone number, email address, and certificate name. The files arrive in mixed formats—PDF, Word, and a few odd ones—and the layout varies from résumé to résumé, so a one-size template parser will not work.
Python will be the core language, and you are free to pair it with whatever complementary libraries or OCR/NLP utilities you feel will guarantee precision; however, every extracted field must be 100 % correct—no guessing, no partial matches, and no skipped records.
Deliverables
• A single CSV (or Excel) file with one row per résumé and four perfectly verified columns: Name, Phone, Email, Certificate.
• Well-commented Python code plus any auxiliary scripts or configuration needed to reproduce the extraction on my end.
• A brief read-me outlining dependencies and run steps.
I will validate the output against spot-checks and automated tests, so please build in your own verification layer before submission.
Python will be the core language, and you are free to pair it with whatever complementary libraries or OCR/NLP utilities you feel will guarantee precision; however, every extracted field must be 100 % correct—no guessing, no partial matches, and no skipped records.
Deliverables
• A single CSV (or Excel) file with one row per résumé and four perfectly verified columns: Name, Phone, Email, Certificate.
• Well-commented Python code plus any auxiliary scripts or configuration needed to reproduce the extraction on my end.
• A brief read-me outlining dependencies and run steps.
I will validate the output against spot-checks and automated tests, so please build in your own verification layer before submission.