MyLocool is a personalised App-Based Search Algorithm designed to connect users with local activities and events of interest in their current location or future destination(s). Designed to be mobile first, this app uses an advanced algorithm developed by MIT Solane that provides users personalised recommendations.

The app pulls data from the user’s profile and links to their social media accounts to generate bespoke recommendations. With the help of its algorithm, MyLocool is able to provide more accurate recommendations than its competitors or even Google searches. The tailored results offer its users the chance for a uniquely personalised itinerary for all destinations, not only the most popular ones. Over time we intend to integrate Machine Learning into the algorithm to allow the app to become smarter and learn from recommendations that have been declined by a user. It would operate similarly to how Amazon Recommends works when rejecting or buying items, or how Netflix learn...
MyLocool is a personalised App-Based Search Algorithm designed to connect users with local activities and events of interest in their current location or future destination(s). Designed to be mobile first, this app uses an advanced algorithm developed by MIT Solane that provides users personalised recommendations.

The app pulls data from the user’s profile and links to their social media accounts to generate bespoke recommendations. With the help of its algorithm, MyLocool is able to provide more accurate recommendations than its competitors or even Google searches. The tailored results offer its users the chance for a uniquely personalised itinerary for all destinations, not only the most popular ones. Over time we intend to integrate Machine Learning into the algorithm to allow the app to become smarter and learn from recommendations that have been declined by a user. It would operate similarly to how Amazon Recommends works when rejecting or buying items, or how Netflix learns what you like to watch over time to provide a better overall user experience.

Instead of searching Google or other apps for hours on end, MyLocool works in the background, scraping the Internet for activities once a user has input a destination and date range. A user can have multiple tentative searches going at the same time. Once destinations and dates are finalised and booked, confirmation emails can be pushed to MyLocool. The app will then use the data to set the search parameters and automatically start a search for the user. MyLocool also searches for activities in a user’s vicinity using the geolocation of the the device.

Search results will include traditional tourism trap activities, but it will also work to supply the user with activities they are less likely to find on their own and are uniquely local. Whilst the application will defaultly display recommendations in a list view, users will have the ability to switch to a “Map” view which will allow them to see where the listed activities are geographically located in relation to the user.

We plan to offer both free and premium versions of the app. The free version will be used to introduce the user to the unique offering we provide and push for a conversion to the premium experience. The premium version will add more value by providing more advanced features and additional content such as photos and videos along with discounts as we secure strategic partnerships.
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Investors

Suzie Jones
Admin
Suzie Jones
Mike Jones
Admin
Mike Jones

Advisors

Jedidiah Weller
Admin
Jedidiah Weller
Shaun Robinson
Admin
Shaun Robinson