woke | Devpost

Inspiration People are very busy or too tired to fix their appliances or cook food. Students especially, who are occupied with university affairs, often struggle to find time to manage household needs. We wanted to create an app that allowed busy individuals to request in-house services, right at the comfort of their own homes. That’s how woke was born.

What it does woke is an on-demand in-home services platform. With just a few taps, users can book trusted professionals for services like appliance repairs, cleaning, beauty & wellness, car care, or other household needs. The app takes vague or even misspelled search queries (like “chair broken” or “need help with bed”) and routes users to the right service category. It provides quick booking, secure payments, and peace of mind by connecting users to verified providers.

How we built it We built woke as a web app first, using React for the frontend and Tailwind CSS for styling to create a clean, modern interface. We added a lightweight AI-powered search engine that understands user intent, even with spelling mistakes or vague requests, and maps it to one of the five service categories. On the backend, we designed logic to handle routing, provider data, and booking flows, keeping it modular for future scalability.

Challenges we ran into Training the AI search to classify vague and messy inputs correctly (it initially routed almost everything to “repairs”). Designing a seamless booking flow that worked for multiple categories without overcomplicating the MVP. Making sure the interface stayed clean and intuitive while still offering all essential functionality.

Accomplishments that we're proud of Building a functional AI search engine that can interpret vague user input and connect it to the right service. Designing an interface that is easy to use and visually appealing, inspired by leading service apps but improved for simplicity. Creating a strong foundation for a scalable product that could expand beyond the initial five service categories.

What we learned How challenging it is to balance simplicity and functionality in an MVP. The importance of clear data mapping and intent classification when building AI-powered features. How to collaborate effectively on both the design and technical sides of a project under time constraints.

What's next for woke Expanding service categories beyond the initial five. Adding provider profiles, reviews, and real-time availability. Integrating payments and push notifications for seamless booking experiences. Scaling the AI engine with better training data to improve classification accuracy. Launching a mobile app version for even easier access.