Inspiration

We were inspired to build this project because virtual connection, such as video calls and online chats, can never replace the experience of truly traveling somewhere and meeting people from different backgrounds face to face. We wanted to encourage real world interaction, so we set out to create a platform that helps people actually go out, explore new places, and connect with others in meaningful ways.

What it does

Meetly asks users a series of questions about their preferences, interests, and comfort levels to determine which places they should visit either locally or across the world. After generating personalized recommendations using a simple rule based system, the platform lets users choose a location. Once they select one, an itinerary automatically appears along with helpful tips on how to interact with people in that region.

How we built it

We built Meetly by designing a questionnaire system that collects user input, creating a rule based recommendation function, and connecting it to an itinerary generator. We structured the logic so that recommendations follow the formula

Recommended Location

𝑓 ( user preferences , travel radius , budget , interests ) Recommended Location=f(user preferences,travel radius,budget,interests). We then developed the frontend to guide users smoothly through each step while keeping the interface simple and inviting.

Challenges we ran into

We ran into challenges while refining the questions so they were neither too overwhelming nor too vague, and tuning the recommendation system so it did not feel generic. We also had to work through difficulties making the itinerary generator feel helpful, consistent, and unique for different types of travelers. Ensuring the flow between questionnaire, results, and itinerary felt natural was another significant challenge.

Accomplishments that we're proud of

We are proud that we built a platform that not only recommends places to visit but also encourages real world human connection. We are also proud of how coherent the user flow feels and how the cultural interaction tips make the experience more meaningful. Creating a system that feels both functional and personal was a big accomplishment for both of us.

What we learned

We learned the importance of user centered design, especially when asking users to answer a sequence of questions. We learned how to structure a lightweight recommendation algorithm, how to design smooth UI flows, and how even small pieces of personalized advice can greatly improve the overall experience. Working together strengthened our collaboration and problem solving skills.

What's next for Meetly

Next, we want to add more intelligent recommendation logic, possibly using machine learning to refine suggestions over time. We also want to expand the number of locations, improve cultural interaction tips through community input, and allow users to save or share itineraries. In the future, we hope Meetly becomes a tool that inspires people around the world to explore, connect, and build real human experiences together.

Built With

• css
• geminiapi
• html
• javascript
• react
• vscode