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@jfangonilo
Last active February 12, 2020 16:47
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Run Recommender

Pitch

Gone are the days you spend hours looking through recommendations on the internet for trail runs or bike rides.

Problem

I've often spent hours looking through maps to find the ideal bike ride/run. This app will aggregate popular, scenic, easy, and harder routes for the user. For those who have no idea where to start, this could provide a good starting points.

Solution

This app will sort through user Strava data to make recommendations based on their activity history and any other preferences they specify on the app. It would take data from Strava and aggregate popular/obscure routes based on the user's profile.

Target Audience

This app is targeted to avid runners and cyclists or anyone looking to get into the outdoors. Folks who are totally new to can also just look for easy recommendations, and folks who have more Strava data can search for more obscure routes to change up their routine.

Features

This app will collect user and global Strava data and aggregate routes based on popularity, scenic-ness, distance, and elevation gain. This will help users in hand-picking their next route based on interest. This could take in the user's location and would draw out a set list of routes based on user input/history.

Integrations

Strava API/OAuth TrailRunProject

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