BIDREADY AI / BUILD 2026
01 / 11
Tender decisions, without the document overload
An AI-assisted platform that turns long tender PDFs into a clear review dashboard
OUR SIMPLE IDEA
UPLOAD → EXTRACT → REVIEW
Less manual searching. More informed bid review.
TEAM
Warriors
Shinde Pritesh Balasaheb
pritesh9194@gmail.com
BUILD 2026 • HACKATHON PITCH
Prototype focus: document extraction and human-reviewed requirements
BIDREADY AI / BUILD 2026
02 / 11
The problem: important details hide in long PDFs
A small missed condition can create confusion during tender preparation
01
READ
Long notices and multiple sections must be checked manually.
02
FIND
Deadlines, deposits, certificates and conditions are scattered.
03
VERIFY
Teams need to trace every extracted claim back to its page.
The real issue is not finding a PDF — it is finding the RIGHT information inside it.
AI-assisted review • Human verification remains essential
BIDREADY AI / BUILD 2026
03 / 11
A relatable example: one tender, many questions
Illustrative example only — not a real tender or a measured result
SAMPLE TENDER PDF
Road repair tender
Many pages. Many clauses. Multiple forms.
What does the bidder need to check?
Submission date
When is the last date to submit?
Eligibility
Who is allowed to apply?
Documents
Which certificates are required?
Financial terms
What amounts or thresholds apply?
Example categories, not extracted data from a specific uploaded document
BIDREADY AI / BUILD 2026
04 / 11
Our solution: from document to dashboard
BidReady organizes important tender information into a readable format
1
UPLOAD
Select the tender PDF.
→
2
EXTRACT
Backend reads text and identifies relevant details.
→
3
REVIEW
See organized fields and check their source pages.
The user remains responsible for checking the original tender before acting.
AI-assisted review • Human verification remains essential
BIDREADY AI / BUILD 2026
05 / 11
What can the current prototype show?
A focused feature set for document understanding — not automatic bid approval
✓
PDF upload
Select and submit a tender file.
✓
Structured fields
Information grouped into a reviewable format.
✓
Requirements
Important tender conditions shown together.
✓
Source references
Page-linked context to support manual verification.
What it does NOT do: independently guarantee eligibility or approve a bid.
AI-assisted review • Human verification remains essential
BIDREADY AI / BUILD 2026
06 / 11
Behind the scenes: technology made simple
Separate frontend and backend components help us develop and test the app
FRONTEND / WHAT USERS SEE
React + Vite + Tailwind CSS
The upload screen and results dashboard.
BACKEND / THE PROCESSING
Python + FastAPI
PDF extraction + configurable LLM adapter.
⇄
Frontend = presents information • Backend = processes documents
AI-assisted review • Human verification remains essential
BIDREADY AI / BUILD 2026
07 / 11
Live demo: show the project in four clicks
A working demo is more convincing than a long technical description
STEP 1
Open the BidReady dashboard
STEP 2
Choose a tender PDF
STEP 3
Click “Upload & Extract”
STEP 4
Review requirements and source pages
Save money with AI-powered bid analysis, no costly consultants needed.
AI-assisted review • Human verification remains essential
BIDREADY AI / BUILD 2026
08 / 11
What makes BidReady different?
Designed for reviewable tender requirements, not just a generic chat answer
GENERIC CHAT RESPONSE
“Here is a summary of this tender...”
Useful for reading, but key requirements may still be mixed into paragraphs.
BIDREADY APPROACH
Fields + requirements + references
Designed so teams can scan the result and return to the original source.
Differentiation is a design goal; no competitor benchmarking has been claimed
BIDREADY AI / BUILD 2026
09 / 11
Challenges, decisions and honest limitations
We focused on a demonstrable workflow rather than overpromising
CHALLENGE
Tender PDFs vary in formatting and may be difficult to parse.
OUR DECISION
Keep the backend stable; improve UI and test changes separately.
LIMITATION
AI-generated details need checking against the original PDF.
IN DEVELOPMENT
Two-PDF comparison was explored in a separate Agent37 environment.
Comparison is not presented as a verified live feature until demonstrated
BIDREADY AI / BUILD 2026
10 / 11
Where we go next
A practical roadmap from hackathon prototype to daily-use tool
NOW
Test more types of real tender PDFs.
Improve field coverage and error handling.
NEXT
Bring two-tender comparison into the reviewed app.
Explore supplier profiles and eligibility checks.
LATER
Add secure file access and permissions.
Benchmark accuracy and require human approval.
AI-assisted review • Human verification remains essential
BIDREADY AI / BUILD 2026
11 / 11
BidReady AI: clearer tenders, better preparation
We reduce the effort of locating requirements — humans make the final decision
UPLOAD → EXTRACT → REVIEW
The right details. In a reviewable format. With source context.
THANK YOU
Questions?
BidReady Warriors • BUILD 2026