MeetBangladesh AI
Bangladesh-wide tourism intelligence

Bangladesh, ranked for every delegate.

MeetBangladesh AI turns event schedules, verified destination data and eleven recommendation signals into time-safe, explainable experiences across all eight divisions.

48 curated demo experiencesExplainable recommendation scoreReturnSafe timingLocal-impact ranking
National coverage intelligence8 divisions
Top live match

Lalbagh Fort & Old Dhaka Bites

Dhaka · Heritage + Food · 3h 30m total

92
Time fit 19/20Returns with 35m buffer
Interest 24/25Strong heritage + food match
Trust 8/8High-confidence demo data
Impact 4/6Local guide and food SMEs
8Divisions covered
48Curated experiences
26Districts represented
11Ranking signals
100Explainable score
National destination graph

One platform. Eight distinct Bangladeshes.

Choose a division to explore destination themes, regional strengths and delegate-ready experiences. Coverage figures describe this v3 prototype dataset, not an official national inventory.

Explainable AI

A recommendation you can defend.

Every result exposes the signals behind its ranking. The model does not invent operating facts; it ranks structured destination records and clearly labels demo estimates.

Recommendation score / 100

Why this matters

Not “AI magic.” Decision intelligence.

1
Schedule-aware

Rejects routes that cannot fit the selected return window.

2
Transparent

Shows time, budget, trust, season and local-impact contributions.

3
Responsible

Uses structured records and warns users to verify live availability before booking.

4
Commercial

Converts delegate intent into measurable demand for organizers and local partners.

High-conversion modes

Built around real delegate time.

Recommendations adapt to two-hour gaps, evening windows, full-day extensions, premium requirements and local-impact priorities.

Quick free-time

2–5 hours

⏱️

Protect the next session

Short routes ranked by transfer time, experience duration and a return buffer.

ReturnSafeNearby first
Evening explorer

After conference

🌆

Convert evenings into local value

Food, river, heritage and cultural options suited to post-event energy levels.

Open-window fitGroup-ready
Regional extension

1–3 extra days

🧭

Discover beyond the host city

Bangladesh-wide routes ranked for season, travel burden, trust and impact.

All 8 divisionsImpact mode
North-star metric

Local economic value generated per event.

The organizer view connects delegate activity, regional demand and estimated local spending.

৳2.84MDemo local spend
1,146Activated delegates
73%Local-partner share
Explore the national dataset

Discover Bangladesh by signal, not guesswork.

Search 48 curated prototype experiences across all eight divisions. Prices, travel times and confidence fields are demo estimates for competition prototyping and must be verified before production use.

48 experiencesSorted by data confidence
Live recommendation engine

Tell us the window. We rank the country.

Choose an origin, available time, budget and interests. The engine scores every experience and explains the strongest matches.

Your national ranking is ready

Top matches combine time fit, interests, budget, trust, season and impact.

Organizer intelligence console

See what delegates want—and where value goes.

This demo dashboard turns preference, recommendation and booking signals into event decisions. Metrics update when demo bookings are added.

Regional demand signal

Share of recommendations and bookings by division.

Experience preference

Current prototype demand mix.

Heritage & culture — 43%Nature & river — 25%Food & craft — 16%Other — 16%
Latest delegate activity
DelegateExperienceDivisionScoreValueStatus
Verified local supply network

Trust is a product feature.

MeetBangladesh AI is designed to rank only structured, reviewable partner records. This prototype demonstrates the verification workflow without claiming that demo partners are currently contracted.

Identity and operating legitimacy

Basic business, operator and contact verification.

Transparent price and capacity

Clear rates, inclusions, cancellation conditions and group limits.

Schedule reliability

Response time, pickup reliability and ReturnSafe performance.

Responsible local value

Local jobs, community benefit, cultural respect and environmental practice.

Data confidence

Every operational field stores a verification status and last-reviewed date.

Partner interest form

Join the pilot network

This local prototype stores the submission only in this browser; no data is sent to a server.

Data lab & transparency

The intelligence behind the recommendation.

Inspect coverage, confidence and scoring logic. The v3 dataset is a structured prototype: useful for demonstrating product behaviour, but not a substitute for live supplier and destination verification.

Dataset health

48Experience records
8/8Division coverage
87%Average confidence
91%Average trust score

Responsible-AI controls

1
Structured facts first

The model ranks stored fields instead of inventing prices, durations or partners.

2
Explain every score

Users see the major factors that raised or lowered a result.

3
Confidence is visible

Operational quality and data confidence remain separate from popularity.

4
Production verification gate

Live availability and safety checks are required before real bookings.

Structured experience recordsSortable prototype view
ExperienceDistrictDivisionDurationPriceTrustConfidenceImpact

Local demo data management

No popup appears on opening. Use these controls only when you need to save or restore local demo activity.