How I’m Building an AI-Powered Event & Wedding Planning Platform

A developer is building PlanToday, an AI-powered event and wedding planning platform that converts natural-language requirements — such as a wedding in Delhi for 300 guests on a ₹15 lakh budget — into structured data for recommendations, checklists, budget planning and vendor discovery. The project pairs this AI planning layer with a two-sided vendor marketplace, where the developer says the hardest problem is delivering value to both users and vendors rather than the technology itself.

Planning a wedding or event looks simple from the outside. But once you start planning, you quickly realize how many things need to be managed: Today, people often manage all of this through Google searches, Instagram, WhatsApp, phone calls, spreadsheets, and personal recommendations. I wanted to explore whether we could bring these pieces together into one platform. That's how PlanToday started. 👉 The idea The basic idea is simple: «Tell us what you're planning, where you're planning it, your guest count and your approximate budget — and the platform should help you organize the rest.» For example: "I am planning a wedding in Delhi for 300 guests with a budget of ₹15 lakh." Instead of starting with dozens of searches, the platform can turn this requirement into a structured event plan. Wedding │ ├── Venue ├── Photography ├── Catering ├── Decoration ├── Makeup ├── DJ & Music ├── Invitations └── Guest Management Where AI comes in One of the interesting parts I'm exploring is using AI to understand natural-language event requirements. { "eventType": "wedding", "location": "Delhi", "guestCount": 300, "budget": 1500000 } Once we have structured information, the application can use it for recommendations, checklists, budget planning and vendor discovery. The goal isn't just to add a chatbot. The goal is to make AI part of the actual planning workflow. Vendor marketplace The other side of the platform is the vendor ecosystem. A user might need: Wedding ├── Photographer ├── Caterer ├── Decorator ├── Makeup Artist ├── DJ └── Venue Each vendor can have a profile containing services, portfolio, location, pricing information, reviews and enquiry options. This creates two sides of the ecosystem: PlanToday │ ┌────────┴────────┐ │ │ Users Vendors │ │ Discover Get Leads │ │ └────────┬────────┘ │ Enquiries The engineering challenge Building a marketplace isn't just about creating CRUD APIs. There are several interesting technical problems: Search Users need to find relevant vendors based on: SEO Event planning is highly location-driven. Wedding photographers in Delhi Wedding decorators in Noida Birthday venues in Gurgaon Catering services in Dehradun The challenge is creating useful, unique pages instead of simply generating thousands of similar SEO pages. AI The AI layer needs to transform unstructured requirements into structured data that the rest of the application can actually use. Marketplace The platform has to provide value to both sides: Users → discover and plan their events. Vendors → receive relevant enquiries and grow their business. The bigger vision I don't want PlanToday to become just another vendor directory. The larger vision is an event-planning ecosystem: User ↓ Choose Event ↓ Set Location & Budget ↓ AI Planning ↓ Discover Vendors ↓ Compare Options ↓ Send Enquiries ↓ Book Vendors ↓ Manage Event Eventually, AI can assist throughout this entire journey. What's next? There are many interesting areas I'm continuing to explore: Building this has been a good reminder that the hardest part of a marketplace isn't building the technology. It's creating a system where both sides of the marketplace get real value. I'm building this journey with PlanToday. If you're working on marketplaces, AI applications, recommendation systems, or event-tech products, I'd love to hear what you're building and what challenges you're facing.