For Healthcare/Biotech:

Developed a machine learning algorithm to more accurately detect cancers from medical imaging data, increasing detection rates by 15% compared to existing methods.
Created a prototype for a remote patient monitoring system using IoT sensors to automatically track vital signs and identify potential health issues for at-risk patients. Conducted a successful pilot program with 5 patients.
Designed and tested a 3D printed prosthetic hand with enhanced grip strength and dexterity compared to existing models. Developed affordable production methods to make the device accessible to more patients.

For Technology/Software:

Built a full-stack web application for an online marketplace with user authentication, payments integration, and admin dashboard capabilities. Project is being used by 50 merchants with over 1000 products listed.
Developed an AI chatbot using natural language processing techniques that can understand customer questions about a company’s products and provide helpful responses at a 75% accuracy rate.
Created an iOS mobile app prototype for an indoor mapping and navigation solution utilizing Bluetooth beacons, WiFi positioning, and augmented reality. Conducted user testing with 50 participants to gather feedback and identify areas for improvement.

For Marketing/Advertising:

Conducted in-depth primary market research through surveys and focus groups to identify key customer pain points and define ideal features for a new smart home security system. Proposed product design, pricing, and marketing strategies based on research findings.
Built predictive customer churn models using machine learning on a large dataset of past customer transactions to identify at-risk customers. Proposed targeted retention campaigns that reduced churn rates by 12% in initial testing.
Created a comprehensive 12-month content marketing and social media strategy for a startup e-commerce site focusing on building brand awareness and generating new leads. Strategy included blogs, influencer partnerships, paid ads and detailed tracking of key performance metrics.

For Finance/Banking:

Developed an Excel-based financial model and conducted a feasibility analysis for a proposed $50 million venture capital funding round, evaluating deal terms, projected return on investment, and repayment timelines.
Constructed a stock trading algorithm using quantitative analysis techniques including moving averages, regression analyses and Monte Carlo simulations. Backtests showed the algorithm outperformed the S&P 500 by an average of 7% annually over 5 years.
Created a dashboard and reporting tool in Tableau to provide portfolio managers insights into firm-wide risk exposures across different asset classes. Automated daily reports and integrated with existing systems.

For Manufacturing/Supply Chain:

Proposed and simulation-tested a new layout for a factory assembly line that reduced product travel distances by 35% and improved throughput by 25% compared to the existing layout.
Conducted time studies tracking 25 steps in a manufacturing process, identified sources of waste, and proposed changes to work instructions, equipment and training that reduced cycle times by 20% on average.
Built a production scheduling optimization model in Python that factors in labor availability, machine capabilities, inventory levels and orders to generate efficient weekly schedules. Estimated cost savings of 15% from reduced overtime and expedited shipments.

The key aspects to focus on when tailoring capstone project highlights for different industries include:

Emphasizing data analysis and quantitative modeling for finance, marketing and manufacturing roles
Highlighting software development and technical skills for technology companies
Focusing on tangible product prototypes and testing for healthcare/biotech roles
Detailing new processes, strategies or systems developed and measurable impacts achieved
Using industry terminology and contextual examples specific to the target role/function

By customizing the examples and language used this demonstrates relevant knowledge of the industry and an understanding of the kinds of problems and solutions valued by employers in that field. This increases the perceived alignment between the student’s background and the company/opportunity they are applying for.