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rashida qaiyumi
rashida qaiyumi

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I Built Deadline Decoder

I Built Deadline Decoder πŸš€

While applying for internships and jobs, I realized I was spending more time reading long PDFs than actually applying.

So I built Deadline Decoder.

It takes a job posting, internship notice, admission brochure, or scholarship PDF and turns it into a structured action plan in seconds.

It extracts:

  • βœ… Eligibility
  • πŸ“… Important deadlines
  • πŸ“„ Required documents
  • πŸ’° Fees & application mode
  • πŸ“ Step-by-step checklist
  • ⚠️ Important conditions and red flags

The goal wasn't to build another "Chat with PDF" appβ€”it was to solve one specific problem well: turn messy notices into clear next steps.

Building this project helped me explore AI-powered document parsing, prompt engineering, and designing around a real user pain point.

I'd love to hear your feedback or ideas for improving it!

Deadline Decoder

Turn messy internship, admission, and job notices into a clean action checklist.

Problem

Students and job seekers waste hours re-reading long, badly formatted PDFs and notices just to figure out who is eligible, what the deadline is, what documents are needed, and what to actually do next. The information is usually there. It is just buried.

What it does

Upload or paste any notice (PDF, image, or plain text). The app extracts and returns:

  • Eligibility β€” degree, year, branch, GPA, age, experience, spelled out specifically
  • Important dates β€” application open, last date, exam or interview date
  • Required documents β€” resume, transcripts, certificates, ID, etc.
  • Fees and mode β€” free or paid, online or offline
  • Action checklist β€” a numbered list of exactly what to do next
  • Red flags β€” conditions that commonly cause rejection or confusion (e.g. "Only for 2026 grads," "Age limit 25")

The output is a…

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