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frontpage
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Dashboard
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shipment
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AI-copilot
Inspiration
Booking freight is slow and risky. Buyers juggle carrier quotes in spreadsheets, can't see why one option is riskier than another, and have no clear view of shipment status once they commit. We wanted one connected workspace where maritime procurement teams can plan, compare, and pay with confidence.
What it does
Freight-Forecast-AI is a maritime logistics intelligence platform that helps shippers make confident procurement decisions:
- Plan shipments and compare carrier quotes side by side
- Explainable risk review: AI evaluates operational risk and shows why a route or carrier is rated the way it is, instead of giving a black-box score
- Shipment status visibility from booking onward
- Secure PayPal Sandbox checkout so every booking has a traceable payment record
- A 3D, animated interface with a login/waitlist flow, checkout, and post-login booking experience
How we built it
- Frontend: React + Vite, with a 3D-style animated UI
- Backend: FastAPI (Python) exposing the quote, risk, and booking APIs
- Payments: PayPal Sandbox for order creation and capture
- AI: [describe your forecasting / risk model or LLM here, in 1–2 lines]
Challenges we ran into
- Making AI risk scores explainable and clearly separate from verified facts
- Integrating the PayPal order and capture flow reliably between the frontend and FastAPI
- Keeping the 3D animations smooth without slowing the app down
- [add one real challenge you faced]
Accomplishments that we're proud of
- A complete flow from landing page to login, quote comparison, risk review, and PayPal checkout
- Risk assessments that explain their reasoning
What we learned
How to combine an AI decision layer with a real payment flow, and why transparency matters when people spend money based on AI output.
What's next
- Live carrier and port data feeds
- Production PayPal payments and payout tracking
- Demand and rate forecasting dashboards
- Multi-user team workspaces
