Contact person: Business Client

Phone:Show

Email:Show

Location: Chicago, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I want to launch a global “fairy-god-mother” service where anyone can open an app, type or speak a wish—“I need dinner for my kids”, “My deodorant ran out”, “I could really use a warm coat”, even “I’m hunting for a new job”—and our platform’s AI instantly finds the best match, sources the item or lead, and triggers a courier to drop it at their door for free. We cover the cost; the recipient never sees a checkout screen.

Here’s what the first production build must accomplish:

• Friction-free wish capture – text, voice, or photo.
• Category detection and ranking by an AI engine that understands Food, Clothing, Electronics, Medicine, Toys, Job Leads, and Personal-Care staples like soap, shampoo, toothpaste, etc., while leaving room for “anything” users might request.
• Smart sourcing – integration with open grocery APIs, e-commerce catalogues, local pharmacies, and job boards so the AI can lock onto the nearest in-stock or most relevant option in real time.
• Logistics trigger – once an item is chosen, an automated call to a delivery partner (or our own driver dashboard) schedules pickup and tracks the drop-off.
• Admin console – I need a browser dashboard to review requests, approve funding, monitor inventory drains, and see live courier status.
• Delight factor – push notifications that keep the requester in suspense (“A surprise is on its way!”) and then confirm delivery with a photo.

Tech freedom is yours—React Native or Flutter for the mobile client, Python or Node.js for the AI-driven backend, and whichever ML stack (OpenAI, LangChain, spaCy, custom models) best classifies requests and matches suppliers quickly. Postgres or MongoDB is fine for data; Firebase Cloud Messaging will handle push unless you have a slicker option.

Acceptance criteria
1. A user can submit a wish and receive a delivered item in a closed demo loop inside one metro area.
2. The AI must categorise at least the essentials (food, medicine, personal care) and entertainment (toys, electronics) correctly in >90 % of test cases.
3. The admin console shows end-to-end status with real-time courier location.
4. Code is handed over in a Git repo with setup instructions and API keys redacted.

If you’ve built recommendation engines, last-mile delivery flows, or social-impact apps, your experience will shine here. Show me a quick outline of how you’d architect the AI matching and the delivery handshake, and we can get started right away." (client-provided description)