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★ 44.0 / 100 • Rank #52 Originality: Common Concept Judge: Discard AI Optional Easy Future-Ready Workforce 30-Hour Build Plan

LiveBenta: Sari-sari to Shopee in one Tagalog tap

#Livelihood #E-commerce #Tagalog AI #Computer Vision
Executive Elevator Pitch

"LiveBenta turns a sari-sari shelf photo into a live-selling script, Shopee caption, and price bundle in Taglish — no marketing degree needed. Built for nanays who survived habagat lean weeks by going online for the first time."

Suggested Stack: Flutter + vision tagger, LLM copywriter, price bundler, SMS order fallback.
Strict Judge Evaluation — 0–100 (Innovation 25 / Fit 25 / AI 20 / Feasibility 15 / Impact 15) Methodology & rankings →
Innovation & Creativity
25
Problem–Solution Fit
50
AI Application & Value
30
Feasibility & Potential
80
Impact & Scalability
45

Weighted total ★ 44.0/100 — ranked #52 of 56. Concept-stage assessment only: no prototype has been built or tested. Scores are comparative, not official PLDT marks.

Problem Statement

Sari-sari owners want online income but freeze at “ano sasabihin ko sa live?” Marketing apps are English, need data, and push paid boosts. After floods, restock capital is thin; every bundle must move.

Proposed Solution

Snap shelf: vision tags items, app suggests 3 bundles (pang-baon, pang-ulan, pang-handaan) with prices ending in -9, then writes a 60-second live script (“Mga suki, 3 Ariel + 1 Downy, ₱149 lang!”) plus Shopee/TikTok caption with hashtags. Orders via chat or SMS fallback; utang ledger links in one tap.

Target Market

  • Primary users: Sari-sari owners, market vendors, teen helpers running lives.
  • Deployers: Coops, youth digital aides.

How AI Is Used

  • Shelf tagger: Vision lists sellable items from cluttered shelves.
  • Copywriter: LLM writes budol-free Taglish scripts that fit 60 seconds.

PLDT / Smart / ePLDT / Rokid Angle

  • Smart: Live bundles over mobile data; SMS orders when data drops.
  • ePLDT: Micro-store hosting for coops.

Demo Scenario (3 minutes for judges)

  1. Snap mock shelf; bundles appear with prices.
  2. 60-second script plays with timer.
  3. Shopee caption copies in one tap.
  4. SMS order arrives on basic phone.
  5. Close: “Mula estante hanggang live.”

30-Hour Build Plan

Hours Task Role
0–3 Mock shelves + scripts All
3–10 Tagger + copywriter AI lead
3–10 Bundler + SMS Backend
10–20 Seller UI Frontend
20–26 Tindera phrasing test All
26–30 Pitch, disclosure PM / Pitch

Suggested stack: Flutter + vision tagger, LLM copywriter, SMS fallback. Public data / APIs: None; team mock shelves.

Risks & Privacy Notes

  • Honesty: No fake discounts or scarcity lies; prices from ledger. Demo shelves fictional; no real customer data into AI tools.
  • IP: All scripts team-written patterns.

AI Use Disclosure (draft)

Uses vision tagging plus LLM copywriting. Coding assistants helped with UI. All demo scripts human-checked for honesty.

Rubric Scoring

Criterion Weight Score (1–5) Why
Innovation & creativity 25% 4 Shelf-to-live in Taglish is catchy
Problem–solution fit 25% 4 Post-flood income need
AI application & value 20% 3 Tagging + writing
Feasibility 15% 5 Very buildable
Impact & scalability 15% 4 Thousands of stores
Weighted total 4.00

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