Implementation note
This page explains the intake flow. Real file upload, OCR, transcription, and document processing will be connected in later implementation packs.
Career material intake
Upload everything that helps explain your career.
Start with an old CV, certificate, photo, portfolio link, interview note, or handwritten material. AndyAI helps turn scattered evidence into a structured career profile.
What you can upload
Start with whatever career material you already have.
The user does not need a perfect file. The system can begin from fragments and organize them into useful structure.
📄
Old CVs
PDF, Word, text, or copied resume material.
🏅
Certificates
Courses, licenses, professional training, and completion certificates.
🎓
Diplomas
School, university, vocational, and technical education documents.
🖼️
Photos and scans
Photos of documents, work evidence, whiteboards, notes, or printed material.
🧰
Work samples
Reports, screenshots, designs, code links, presentations, and project examples.
🔗
Online links
LinkedIn, GitHub, portfolio, website, blog, YouTube, or public work links.
🗣️
Interviews
Voice notes, transcripts, Q&A notes, and recorded career conversations.
📝
Personal notes
Rough notes, handwritten job history, achievement lists, and memory fragments.
Intake process
From messy files to clean career structure.
Phase 01
📥
Collect
The user gathers old CVs, documents, links, images, and notes in one place.
Phase 02
🔎
Read
AI reads and separates roles, dates, skills, projects, tools, languages, and proof signals.
Phase 03
🧩
Organize
The material becomes a structured career profile instead of a messy pile of files.
Phase 04
❓
Ask
Unclear points become follow-up questions instead of fake conclusions.
Phase 05
✅
Confirm
The user approves what is true and removes what should stay private.
Phase 06
📤
Export
Confirmed material becomes CV, PDF, LinkedIn text, interview prep, and a career link.
Privacy review
Not every uploaded detail should become public.
Private notes do not automatically become public.
Sensitive details should be reviewed before export.
Unsupported claims are marked as gaps.
Photos and scans need confirmation before use.
The user chooses what becomes CV text, PDF text, or public profile text.
What AI extracts
The goal is not storage. The goal is career proof.
roles and responsibilitiesskills and toolsprojects and work samplescertificates and educationlanguages and communicationachievements and measurable resultsportfolio links and public proofgaps that need follow-up questions
Output path
Uploaded material should become useful career output.
📄
CV sections
Experience, skills, education, summary, and role fit.
📕
PDF profile
A polished document for email, print, or applications.
🔗
Career link
A shareable online profile for employers or clients.
💬
Interview prep
Likely questions and answers based on real material.
Upload FAQ
Plain answers before the user uploads career material.
Can I upload a bad or outdated CV?
Yes. A weak old CV is still useful because it gives the system a starting point.
Can I use photos of documents?
Yes. The product direction includes support for photos and scans, with user confirmation before use.
Will everything become public?
No. Private material should be separated from public career profile output.
What if I do not know what matters?
That is exactly the point. AndyAI helps identify useful career signals and asks follow-up questions.