SharpEyeOberlin Winter Term 2027

Frontier Intelligence for Tennis

Shot-by-shot statistics and analysis is inaccessible to the majority of tennis players. SharpEye is changing that. Our computer vision model captures a shot-by-shot record of the match and shows players exactly where their points are won and lost. This January, a small group of Oberlin students will join the team building it, working with one another and directly with SharpEye's co-founders.

You can join as an intern or take on a research project. Tell us which you prefer below.

DatesJanuary 4 – 27, 2027
TimeAbout 100 hours
WhereRemote

1 · Rank the roles

Give your first choice a 1, your second a 2, and so on. Rank as many as interest you and leave the rest as "Not for me".

Computer vision model work

From one phone camera, the model has to read the whole match: every shot and who hit it (the serve, forehand or backhand, topspin or slice, volleys, overheads, lobs, and drop shots), where each ball bounced, and who won each point. You would build the examples it learns from, test it against real matches, find where it fails, and measure each improvement. Projects range from telling shots apart, to recovering where the ball landed from its flight, to reading the players' calls and body language.

Areas of interest: computer science, data science, statistics, physics, speech and language processing.

iOS app development and statistical player analysis

Players film, review, and share their matches in the SharpEye iPhone app. You would build features in the app and the analysis behind them: which statistics actually tell a player something about their game (serve patterns, shot placement, and what wins and loses points), how to show them clearly, and how to check they're right.

Areas of interest: iOS or Swift development, mobile design, statistics, data science, sports analytics.

Physical engineering of the SharpEye stick

Players film their matches on the SharpEye stick. It hooks onto the fence behind the court, holds the phone at the best angle for our software, and has built-in battery charging. We have a working prototype. You would own it from here: improvements to the fence hook, phone mount, and battery; materials, cost, design for manufacturing, and choosing a manufacturer; packaging, shipping, and getting it to players and teams.

Areas of interest: mechanical or electrical engineering, product design, physical prototyping.

Business and economics: pricing the product

How should SharpEye be priced? Players, parents, coaches, and college programs each value match analytics differently. You would study what each group would pay, analyze different pricing strategies, and work out what that means for how SharpEye is sold.

Areas of interest: economics, business, statistics.

2 · Internship or research project

3 · About you

4 · Résumé

PDF or Word, up to 8 MB. You can replace or remove the file before you submit.

No file chosen