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title: MatchDay
emoji: ⚽
colorFrom: blue
colorTo: green
sdk: gradio
app_file: app.py
pinned: true
license: mit
tags:
  - build-small-hackathon
  - backyard-ai
  - agents
  - react-agent
  - tool-use
  - nemotron
  - nvidia
  - modal
  - gradio
  - fifa-world-cup-2026
  - travel
models:
  - nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16

MatchDay ⚽ — 2026 FIFA World Cup, Vancouver

MatchDay is a Layla.ai-style travel-intelligence agent with one job: get you to a 2026 FIFA World Cup match in Vancouver with the cheapest flight, the safest arrival, and a hotel closest to BC Place — explained, not just listed.

Say "Flying from Montreal, want Canada vs Qatar, mid-range, June 26-29" and MatchDay's agent builds 3 ranked, scored packages (flights · hotels · weather · what's near the stadium) on an interactive Leaflet map, each price tagged with honest provenance — ● live vs example — so nothing is hallucinated.

How it works — Brain + Hands

Brain: NVIDIA Nemotron-3-Nano-30B-A3B-BF16 — a 30B-total / 3B-active Mixture-of-Experts model, served on Modal A100 via SGLang. It selects tools, reasons, and writes the explanations. It never calls an API or names a price.
Hands: deterministic Python calls the APIs (flights, hotels, weather, POIs), scores packages with a fixed cost / arrival-buffer / stadium-proximity formula, and attaches provenance to every value.
Loop: a bounded ReAct agent (≤5 tool rounds). Nemotron decides the sequence, the hands execute, results return — Nemotron-3-Nano emits structured tool calls via SGLang's qwen3_coder + nemotron_3 parsers.

Why this is "small"

Nemotron-3-Nano-30B is a MoE — only ~3B parameters activate per token, so the reasoning path is genuinely lean. Heavy 30B inference runs remotely on Modal (sanctioned hackathon compute); the Gradio Space itself stays lightweight.

Tech

Nemotron-3-Nano-30B-A3B (3B-active MoE) · Modal A100-80GB (SGLang v0.5.12, qwen3_coder+nemotron_3) · gradio.Server custom frontend (streaming chat + Leaflet map + day-by-day timeline — not stock Gradio) · SerpApi (Google Flights/Hotels/Search) · Open-Meteo · OpenStreetMap · httpx/Pydantic v2.

Try it

Live Space: https://huggingface.co/spaces/build-small-hackathon/matchday
Agent trace (Sharing-is-Caring): https://huggingface.co/datasets/build-small-hackathon/matchday-agent-traces
Field Notes (architecture story): matchday/FIELD_NOTES.md

Built for Build Small

Track: Backyard AI. Sponsor tools used: Nemotron-3-Nano-30B (NVIDIA) + Modal (noted here per the Modal-prize requirement; Modal A100 is the runtime).

Targeting:

🟩 NVIDIA Nemotron — Nemotron-3-Nano-30B-A3B is the Brain.
🟢 Modal ($10k/7k/3k) — Modal A100 serves the model.
🤖 Best Agent — bounded multi-step tool use, ≤32B.
🎨 Off-Brand — gradio.Server custom UI well beyond stock Gradio.
📡 Sharing-is-Caring — agent trace on the Hub (link above).
📓 Field Notes — architecture blog (matchday/FIELD_NOTES.md).
🏆 Bonus Quest Champion + 🎬 Best Demo + 🗳️ Community Choice.

Social

Post: (REQ-04 — link your post, then redeploy). A ready-to-post draft is in matchday/SOCIAL_POST.md.