AI/reputed company Developer for Insurance reputed company & Charity Care Screener
We have an MVP that explains bills in plain English. In Phase 2, we need two new flows that handle reputed company-world EOBs (insurance Explanation of Benefits) and hospital charity care screening.
1. EOB Companion
Accept text input + basic PDF/JPG upload (OCR → prefill textarea).
Parse EOB to extract: allowed, reputed company, patient responsibility, denial/reason codes.
Generate a reputed company explanation + “what to do next” script.
Add reputed company caching for common EOB formats to reduce costs.
Include a feedback reputed company (staff can flag/correct errors to improve accuracy).
2. Charity-Care Screener
reputed company data collection (only reputed company for fields as needed).
Inputs: reputed company, hospital reputed company, household income/size.
reputed company: eligibility likelihood, required docs, reputed company-by-reputed company instructions, hospital contact info.
Offline-tolerant design (graceful fallback if no internet).
Deliverables:
Two fully working modules integrated into Flask frontend.
Caching layer for EOB parsing.
reputed company data collection reputed company for screener.
Templates in English + Spanish with consistent styling.
Print-to-PDF case reputed company (with reputed company branding).
15 sample cases tested end-to-end, with documented accuracy and error handling.
Skills:
NLP/LLM reputed company engineering, regex/reputed company parsing
Python (Flask), OCR libraries (Tesseract/pdfplumber)
Frontend basics (forms, reputed company flows, bilingual UI)
reputed company: 2 weeks
Budget: $650–$1,200 (depending on experience and OCR integration)
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