Capstone Project Ideas: Stand Out to Recruiters in 2026

Key Highlights

Here is a quick look at what this article covers:

• A capstone project is more than a last assignment. It can help you stand out to recruiters.

• We give a list of the best ideas in data science, analytics, and artificial intelligence.

• Find out what can help a capstone project shine. Learn about problem-solving and getting your project from start to finish.

• See how to talk about your machine learning and data analysis work clearly when you go to interviews.

• This guide has a checklist. It will help make sure your computer science or AI capstone project is ready for your portfolio in 2026.

Introduction

Your capstone project is not just your last big test at school. It is also the first step you take into work life. A great capstone project will show what you can do to potential employers. This is more important than just having a paper or a certificate. It shows your real skills. Choosing the right topic from the best capstone project topics can feel tough, but picking the right one will help your portfolio stand out. A strong topic gets the attention of recruiters, so you may spend a lot of time thinking about the best choice.

This guide gives ideas for capstone project topics that fit with what people need now at work. These topics help you show your value and can help you get the job you want in 2026. If you want capstone project examples with code for AI, this guide will also show you sample projects like AI chatbots, image apps, and sentiment analysis tools. For each example, you get links to open-source code. This makes it easier to start your own capstone project and show your real AI skills to employers.

Capstone Project Ideas That Actually Impress Recruiters in 2026

Picking the right topic for your capstone project is very important. In 2026, recruiters want college students who can solve real business problems. They do not just want someone who can finish schoolwork. The capstone project ideas here help you build a good portfolio. These ideas show that you can use what you learn in your class for real work. This proves you can start the job on day one.

These project ideas are good for high school students. They let you show your skill and your understanding of business. If you are someone who likes data science, analytics, or AI, you should pick one of these topics. It will help people who hire see that you are ready for the job, can think ahead, and do well at work.

1. Customer Churn Prediction (Data Science Capstone)

One good topic for a data science capstone project is to guess which customers will stop using a service. This is helpful for middle school teachers and students too. A lot of companies want to know who their customers are and if they will go. This helps them act early. In this capstone project, you use machine learning to find the people who might go away. You look at things that people do, how often they use something, and facts about them.

This talks about a real need for a business. A business must keep its customers if it wants to keep making money. A data scientist who works on this capstone project will show that they can use numbers to make good business ideas. You need to do a lot of data analysis to find what makes people stop using the service. For example, you can use data from social media platforms to look at what people say about the company. You can also check when they do or do not come back and renew their subscriptions. This is even more important during a free trial. This helps you see and know more about how the customer feels and acts.

Some case study ideas for a Google Data Analytics capstone project are: using data from social media to look at how customers feel, using data analysis to look at which parts of the data show if people stay or leave, and finding out if ads or special deals on social media keep people from leaving. By using these ways, you can use data and social media platforms to help a business with real problems when you do your capstone project.

A data scientist who works on this capstone project can take the numbers you have and turn them into ideas that help a business in mobile health. When you use data analysis, you can find out why people leave. For this, you can use data from social media platforms. They show you what customers say about the company. You can also look at the times people choose to keep or stop their subscriptions. This use of data helps you get to know the customer’s journey better.

• Problem: Find out which customers might cancel their service in the future and try to predict it.

• Tools: You can use Python with tools like Pandas and Scikit-learn. It's also good to use SQL and some data visualization tools like Tableau for this work.

• Skills: You need to be good at using machine learning for classification. You should also have skills in data analysis, machine learning, and data visualization, plus understand how business works.

This capstone project is the best way for a new data scientist to show what they can do in real life. You will use data analysis, data visualization, machine learning, and other models. When you use data from social media and other sources, you can help the business to get and keep more people. This shows how good use of data and a smart machine learning plan can help in real business.

2. Fraud Detection System (Data Science Capstone)

Financial fraud takes a lot of money from companies each year. A fraud detection system is a good idea for a data science capstone project. In this project, you will use a machine learning model to spot fake transactions as they happen. You will work with data where there are not many cases of fraud. This is why the task is both hard and very important.

With artificial intelligence, you can look at old transaction data. It helps you find things that look odd or do not fit with normal patterns. This makes it easier to spot when fraud is going on. If you do this project, you show that you know how to use private data. You also prove you can build good models for important work. You have to use analysis tools to clean the data. You will also need to see how well your model is working. You should focus on real-world checks that show how strong your model is.

• Problem: Find fake financial transactions so the business will not lose money.

• Tools: Python, TensorFlow or Keras, SQL, and big data tools like Spark.

• Skills: You need to find odd patterns, build a machine learning model, pick good data features, and work with uneven data.

3. Recommendation Engine for E-Commerce (Data Science Capstone)

Recommendation engines are important for big online stores like Amazon and Netflix. If you build one as your capstone project, you show that you understand how to get people interested. A project like this can help people buy more of what they want. In the capstone project, you will make a system that can decide what to suggest to a user. It will use the user's old actions, their past purchases, and what other people who are like them do. This is a good choice if you want creative capstone project ideas.

If you are a data scientist, this capstone project on renewable energy is a good way to see new ideas for making your own advice system. You will get to use tools like collaborative filtering or content-based filtering. You can also use NLP tools to read product reviews and details to make better tips for people. The work you do in this project will use artificial intelligence and show that you know the way to put the customer first in how you make choices.

• Problem: The goal is to get more people to join in and shop on an online shopping website. This can be done by showing them items picked out for them.

• Tools: The tools to be used are Python with Surprise, SQL, NoSQL storage, and cloud services.

• Skills: You need to know collaborative filtering, matrix factorization, how to handle data, and how to make shopping feel more personal for each user.

4. Demand Forecasting Model (Analytics Capstone)

A demand forecasting model is a good capstone project for students in business analytics. Companies want to know how much they will sell in the future. This lets them keep the right amount of inventory. It also helps make supply chains better and plan money well. For this project, you will look at past sales numbers. You will use these to make a time-series model that can guess how sales will go in the next days.

This kind of data analysis project shows that you know how to use time-series data. This skill is important in public policy. You will look at the data to find trends. You also get to see how sales go up or down at different times of the year. By doing this, you can spot what makes people want more or less of something.

With a model like this, a business can use less and waste less. They will not run out of things people want, and things will go much better for them. This can really help them make more money from the work you do.

• Problem: You need to guess the amount of a product that people will want. This helps to make supply chains and inventory better.

• Tools: You can use Python or R, SQL, and data visualization tools like Power BI or Tableau.

• Skills: You should know time-series analysis, working with data or numbers, data analysis, and business forecasting.

5. NLP-Based Sentiment Analysis (Data Science Capstone)

Sentiment analysis is an important use of natural language processing. It lets companies know what people feel. In this data science project idea, you make a model that sorts text data from reviews or things people post on social media. The model puts each text into a group. It can be positive, negative, or neutral. This project is a good choice for companies that want to know about brand image and what customers say.

When you look at the mood on social media, you help a business know how people feel about its products or services. This work shows you know how to work with natural language, and that is a key skill in data science today. You also show you can clean text, pick out the main things, and use machine learning to find ways to solve a business problem.

• Problem: Read what shoppers write in their feedback. Use this to find out how they feel about the brand or product.

• Tools: Python with NLTK, spaCy, or Hugging Face Transformers. Use APIs to get data from social media.

• Skills: Know how to use natural language processing. Do sentiment analysis, get text ready for models, and work with classification models.

6. Sales Performance Dashboard (Analytics Capstone)

A sales performance dashboard is a common capstone project in analytics. It is a good way to show your skills in data visualization when you work on your final project. In this project, the main goal is to make an interactive dashboard. The dashboard helps leaders in business see key sales numbers, check how teams are doing, and find new trends. This is different from projects where you try to guess what will happen next. Here, you learn from data and share insights that people can see and use.

In this project, you get sales data from a database. You clean the data and change it so that it can be used. After this, you use Power BI or Tableau to make the dashboard. A big part of the work is to use data visualization to share a story. You help managers see how sales are doing for places, products, or even each person who sells. This final project shows that you know how to use data and turn it into something useful for the business.

• Problem: Give people a clear and live look at sales performance. This helps leaders use data to make choices.

• Tools: SQL, Power BI or Tableau, Excel.

• Skills: Data visualization, dashboard design, data modeling, and business intelligence.

7. Marketing Funnel Analysis (Analytics Capstone)

It is important for any business to know how a customer moves from learning about them to making a buy. A capstone project that looks at the marketing funnel with market research can help with this. In this project, you check each step a person goes through. You start from the time they first know about your business and follow them until they make a buy. The main goal is to spot the place where people stop and leave. If you know where this happens, you can share ideas to fix these breaks and help more people become buyers.

In this capstone project, you will use analysis tools. These tools help you see how many people visit your website. You will also find out how many become leads and how many make a purchase. At the end, you will have a dashboard or a report with data visualization. This makes it easy to look at where customers drop out or where things are working well. Seeing this helps you understand what works best and adds to your final grade. This capstone project gives you a look at the real work in strong marketing and working with numbers.

• Problem: Look at the marketing funnel to know where people leave and help more of them buy at the end.

• Tools: Google Analytics, SQL, Excel, and data visualization tools like Tableau or Power BI.

• Skills: Funnel analysis, CRO or conversion rate optimization, data visualization, and marketing analytics.

8. Supply Chain Optimization Project (Analytics Capstone)

Making supply chains better is hard for many small businesses. So, this is a good idea for a data analysis project. The main thing you want to do is use data to help the supply chain work better. You want it to cost less for the business and not have long delays. You can look at one part at a time, like inventory, how you move things, or how good your suppliers are at their job.

In this project, you will get data from many places in the supply chain. You will look at the data to see what is not working well. Then, you will share ideas on how to fix the problems. You need to back up those ideas with facts. For example, you can check different shipping routes to find the one that costs less. Doing data analysis projects like this is a good way to show you can deal with tough problems by using supply chain information. This skill is important if you want to get into business analytics.

• Problem: Find the part of the supply chains that are not working well. Give your best ideas on how to save money and make sure products get to where they need to go faster.

• Tools: Use SQL, Excel, Python for writing code and checking numbers, and mapping tools.

• Skills: You should look at how things are done, use data, help supply chains work better, and know how to plan how things move.

9. HR Attrition Analytics (Analytics Capstone)

Employee turnover, which is also called HR attrition, can be a big cost for a company. A data analysis project on this topic is very helpful. It helps you show that you can solve real work problems that involve people. In this kind of work, your job is to look at data about the staff to find out why they leave. You can also try to know which ones may soon quit.

In this project, you will look at things like how much employees get paid, how happy they feel at work, how long they stay, and if they move up in the job. You can use data analysis to study what people say in exit interviews. This shows what really matters to them. At the end, you make a report or use a dashboard to show your results. HR managers can use this data to keep more people and make good choices. This use of data makes your project very helpful with a big impact.

• Problem: You need to find out why people at work leave and give ideas to help them stay.

• Tools: You can use SQL, Python, or R, and also use tools like Tableau to look at the data.

• Skills: You will use data analysis, HR analytics, trends that you find, and make reports about what you see when you use data.

10. Financial KPI Tracking Dashboard (Analytics Capstone)

A financial KPI tracking dashboard can be a good and easy-to-see capstone project for students. Students who want to know more about finance and the many fields in business analytics will find this helpful. In this project, you will build a dashboard that helps you keep up with key numbers, such as revenue, profit margins, and cash flow. This dashboard lets leaders get all the facts they need to make good moves fast.

In your role, you need to pick the most important KPIs for the company. You have to find the data and then make a dashboard that is easy to use. This project does not connect to social media, but it is important for seeing how a business is doing. It shows recruiters that you know how to work with numbers and share them in a clear way that anyone can get, even if they do not have a tech background. Be sure to show this work on your LinkedIn profile.

• Problem: A KPI dashboard lets you see your company’s financial health right away in one place.

• Tools: You use Excel, SQL, and business intelligence tools like Power BI or Tableau.

• Skills: You need to know about financial analysis, data visualization, how to set up dashboards, and business intelligence.

11. AI Chatbot for Customer Support (AI Capstone Ideas)

For students who want to know more about artificial intelligence, building an AI chatbot for customer support is a good capstone project idea. An AI chatbot can answer common questions from people at any time. This helps human workers focus on harder things. In this project, you work on a smart irrigation system and also build and train a chatbot. The chatbot should be able to know what a user asks, and give the right answers.

You will need to collect data first. This will help you make a list of common questions and answers. You will also use natural language understanding. This helps the chatbot know what the user wants. This is one of the most helpful AI project ideas. It shows how you can use artificial intelligence to make customer support better.

• Problem: Use machines to reply to simple customer support questions. This can help answer people fast. It also helps lower business costs.

• Tools: Python, Dialogflow, Rasa, or Microsoft Bot Framework.

• Skills: natural language processing, conversational AI, API work, and machine learning.

12. Resume Screening System Using ML (AI Capstone Ideas)

Recruiters look at many resumes for one job. A capstone project can help with this. When you use a machine learning model, you can make this work fast. The AI system goes through the resumes for you. It picks out skills, past jobs, and other key things. The model can also sort the people based on how much they fit the job. Plus, it can see if candidates need financial aid and offer options. A project like this will use machine learning and help more people get a fair chance.

This artificial intelligence project uses natural language processing (NLP) to find and get information from text. This makes content creation better and faster. It then uses tools to show you the top choices. It may not connect straight to social work, but it is good for real people working in jobs and hiring.

This project shows you know how to build a tool that saves time and lessens bias in hiring. This looks good in your portfolio.

• Problem: Make the first round of resume checks automatic. This will help recruiters find the top people faster.

• Tools: You can use Python. Libraries like spaCy are good for natural language processing. You will also need document parsers and some machine learning tools.

• Skills: To do this, you need to know natural language processing, how to pull out information, text sorting, and building a machine learning model.

13. Image Classification Use Case (AI Capstone Ideas)

Image classification is a big part of artificial intelligence and computer science. Virtual reality can make it even better. You will see this used in things like medical diagnosis and self-driving cars. A good capstone project for computer science students is to build an image classifier on your own. For example, you could make something that looks at pictures and tells different skin conditions apart. You might also use virtual reality to build a system that helps sort products in a factory.

To do this, you will use deep learning models. These models are called Convolutional Neural Networks or CNNs. First, you have to get a dataset. You need to put labels on the images in the set. After that, train your model and see how well it works.

This project lets you show what you know about image processing and artificial intelligence. It shows that you can use hard data to make good artificial intelligence tools.

• Problem: The task is to sort pictures into groups for an area you pick. This could be for medical, industrial, or farming use.

• Tools: You will use Python, and one of these: TensorFlow or PyTorch, plus OpenCV.

• Skills: You need to know deep learning and computer vision. You should also know how to use convolutional neural networks (CNNs) and how to add more data to make training better.

14. Generative AI for Summarization and Q&A (AI Capstone Ideas)

More people now use large language models, so it can be good to use a capstone project with artificial intelligence. You can use generative AI to help with climate change problems. A simple idea is to make a tool that takes long text and makes it short, or a tool that lets people ask questions about text and get answers. This project will show that you can work with new tools in artificial intelligence.

You can use a pre-trained generative AI model, like the ones from Hugging Face, and change it so it works for your own goal. For this capstone project on water purification, you have to learn how to ask questions to the models the right way. You also need to know how to use what the model tells you. This is one of the most new and fun ideas in AI, and it can put you ahead in the world of AI.

• Problem: Make a tool that helps to turn long text into a short one. It can also answer questions people have from a document. This tool will help people save time.

• Tools: You can use Python, the Hugging Face Transformers library, and some pre-trained big language models like T5 or GPT.

• Skills: You need to know about generative AI, natural language processing, how to fine-tune models, and how to work on prompt engineering.

15. Predictive Maintenance System for Manufacturing (Industry Project Ideas)

In the manufacturing and industrial automation fields, new technology helps stop equipment from running into problems without warning. Predictive maintenance is one such tool. If a machine stops, it can break the production flow and cause big losses. A capstone project on this topic can help solve the issue.

With predictive maintenance, you work with sensor data from the machines. The idea is to guess when a part could break. If you know this early, you can work on fixing the part before it leads to bigger problems. You can plan your repairs ahead of time. This project will show what new technology can do to make things better.

With this project, you look at data that comes in as time goes by and use machine learning. You get and check information from sensors. These sensors watch things like temperature, vibration, and pressure. This helps you see patterns that come before a machine breaks down. If you make a model to do this, people will know you can use data science, machine learning, and data analysis to fix big problems in the industry. You show that you can use data in a good way.

• Problem: You want to spot equipment failures in manufacturing before they happen. This helps you fix problems early. It lets you avoid losing time.

• Tools: You will use Python or R, SQL, time-series databases, and machine learning libraries.

• Skills: You need to know about predictive modeling, time-series analysis, sensor data analysis, and how industrial automation works.

16. Healthcare Patient Risk Prediction (Industry Project Ideas)

If you are a college student and want to work in healthcare, trying a capstone project about a patient risk prediction model for mental health disorders can be a good idea. In this project, you look at patient data to try to find out how likely it is for someone to have a health problem. For example, you can use the data to guess if a person will come back to the hospital or get a long-term illness like diabetes. Doing work on this kind of capstone project can help improve mental health, public health, and also make patient care better for everyone.

You work with data from electronic health records (EHR). This data can show where a patient is from, how old they are, their test results, or any health problems from before. It can be hard to use all this data in a way that is safe and right. When you build a machine learning model to help doctors find out which patients may be at high risk, you show that you know how to use machine learning. You also show that you care a lot about patient care and want to help people stay healthy.

• Problem: The goal is to find out early if someone might get a health problem. This way, people can get medical help at the right time.

• Tools: Use Python or R, SQL, and also machine learning frameworks.

• Skills: You will need to know about predictive analytics, work with data analysis for health records, handle data with care, and have the basics of number work.

This kind of capstone project uses machine learning to help patients and the public. It is a good choice for those in college who want to use data analysis in a new way for public health. If you want to use data and learn more about capstone project ideas, this is a good start.

17. Real-Time Price Optimization for Retail (Industry Project Ideas)

Price optimization keeps changing in the retail world. In this capstone project, you will use analytics and artificial intelligence to make a model. This model will suggest the best price for products. It will use extra information like demand, what the competition charges, how much stock there is, and the time of year. The system will give prices in real-time by using all this data. This is one of the most valuable projects a student can do.

You will make something that looks at the market data all the time and changes prices to help you earn more money or profit. This capstone project is good for high school students because it shows you know a lot about analytics, machine learning, and how to read data. It also tells recruiters that you can build models that help a company get more money fast and see the results quickly.

• Problem: Change product prices when the market changes, so you can get more money and make more profit when stores try to beat each other.

• Tools: You can use Python or R, SQL, web scraping tools to get data about the other stores, and machine learning libraries.

• Skills: You need to be good at setting changing prices, using regression analysis, time-series forecasting, and looking at the market.

Capstone project, machine learning, and artificial intelligence are all important for doing well here.

What Makes a Capstone Project Recruiter-Ready in 2026

A capstone project that is ready for recruiters should be more than just creative ideas or hard technical work. In 2026, companies look for people who can show they think like a business person through their capstone project. Using recent research papers is not enough on its own. The important thing is to prove that you can find a clear problem and show your work helps real people in real situations.

Your project should show how you found a problem. It should also show what you did to fix it and how you checked if your solution worked. From the beginning, try to think with a business mindset. The next sections will help you set up your project so you can meet these goals.

Clear Business Problem Orientation and Industry Project Ideas

The best project ideas start with a real problem in business. Don’t pick a topic just because it sounds good or is hard to do. Instead, think about what real problem you want to solve. Also, think about the available resources that you have. If your project can save money, help people make more money, or make things work better, it will mean a lot more to those who read your work.

Industry project ideas for high schoolers are helpful because they deal with real problem needs from businesses. You can look at what people need or face in finance, healthcare, or e-commerce. There should be a clear purpose for your project. Make sure to link your work to a result you can see or measure. For example, you may work on making a process faster or try to guess what happens next in the market. This way, you can show others that you can be useful and solve a real problem. It is more than just writing code.

Getting trained with SocialPrachar helps your project match what companies want. They let you work with real problem statements. You also get access to course materials and their advice. This way, your work becomes a case study that is ready for your job portfolio, not just another school project.

End-to-End Implementation with Metrics and Outcomes

Recruiters want to know that you can handle a project all the way from when it starts to when it ends. Doing an end-to-end implementation shows that you understand the whole project lifecycle—not just a small part of it. In your capstone project, make sure you show a clear path from the first idea to a real result in your field of study. Be sure to include steps like data collection, data cleaning, building the model, and checking how well it works.

Set clear goals for success before you begin. Think about what "good" looks like for your project. For a churn model, you can use how well it can guess. For a dashboard, look at how many people use it. Watch these numbers and talk about what happens at the end. This shows you focus on getting results.

Project Stage	Description	Key Deliverable
1. Problem Definition	Clearly state the business problem and define success metrics.	Project charter or proposal
2. Data Collection	Gather and source the necessary data.	Raw dataset
3. Data Processing	Clean, transform, and prepare the data for analysis.	Cleaned dataset
4. Model/Analysis	Build the model or perform the analysis.	Code scripts and model files
5. Evaluation & Results	Measure performance against metrics and document findings.	Results summary and visualizations
6. Deployment Thinking	Outline how the solution could be deployed in a real system.	Deployment plan/notes

Dataset Selection, GitHub Portfolio, and Interview Presentation Tips

How you show your project at the end matters as much as how you do the work. You should choose datasets that feel real. There are many open datasets on Kaggle or data.gov. Be sure to tell what you assume when you use these.

Your GitHub portfolio works as an accomplishments page of your work. Keep it clear and add good notes. Every project should have a README file. The README must talk about the problem, how you worked on it, your results, and add any electronic certificate you got.

When you talk about your project in an interview, try to use the STAR method. This is where you talk about the Situation, the Task, the Action, and the Result. Get ready, because you might get hard questions. You may have to say why you made certain choices. You also might be asked about what you would change next time.

• Clean GitHub Repo: Make sure you comment the code, keep the files tidy, and add a clear README. The README should tell people what your project is about.

• Visual Storytelling: Use charts and graphs to help show your findings.

• Business Impact: Always show how your results can help a business, especially with the certificate experience.

• Future Improvements: Talk about what you learned from the project and share ideas on how to make it better.

You can get help from mentor-led programs like the one SocialPrachar offers. This is an ai training institute in hyderabad. They help you make sure your GitHub and how you show your work match what top interviews want to see.

Conclusion

To sum up, picking the right capstone project can be so good for your profile and will get you noticed by recruiters in 2026. If you choose a capstone project that solves a real problem and uses skills people want in the field, you show the world how ready you are to work. A capstone project based on current trends, like customer churn prediction or making an AI chatbot, lets you practice clear thinking and helps with tasks from work that matter now. A capstone project that you can show off well can help you stand out when you go for interviews. So, this is a good chance to make something strong that matches what everyone wants in the job world now. If you want help or advice, get a free session with the experts at SocialPrachar. They are focused on real help from mentors, so you can reach your career goals.

Ideas for a Capstone project? : r/compsci

You can think about new capstone project ideas. For example, you might work on a machine learning tool that helps with finding patterns in data. You can also build a mobile app that solves problems for people near you. Another good idea is to make a website that helps others learn about the environment.

These capstone projects can help you show your skills. They can also help you get noticed by those looking for people to hire in 2026.

What are popular topics for a data science capstone project?

When selecting a topic for a data science capstone project, it's important to choose one that is both relevant to current industry trends and challenging enough to demonstrate your skills. Popular topics often reflect real-world problems and leverage modern datasets. Here are several widely chosen themes:

1. Predictive Analytics

• Customer churn prediction for businesses (e.g., telecom, banking)

• Sales forecasting using time series analysis

• Predicting stock market trends or cryptocurrency prices

1. Natural Language Processing (NLP)

• Sentiment analysis on social media or product reviews

• Automated text summarization for news articles

• Chatbot development using conversational AI models

1. Computer Vision

• Image classification (e.g., identifying plant diseases, facial recognition)

• Object detection in traffic surveillance videos

• Medical image analysis for disease diagnosis

1. Recommendation Systems

• Personalized movie or music recommendations

• E-commerce product recommendation engines

• Content-based filtering vs collaborative filtering comparisons

1. Healthcare Data Science

• Predicting patient readmission rates in hospitals

• Analysis of electronic health records for disease risk factors

• Drug discovery using machine learning models

1. Fraud Detection and Security

• Credit card fraud detection with anomaly detection algorithms

• Network intrusion detection using supervised learning methods

1. Social Good and Policy Analysis

• Analyzing public datasets to predict crime hotspots in cities

• Modeling the impact of climate change on agriculture yields

1. Sports Analytics

• Player performance prediction in major leagues (NBA, NFL, MLB)

• Strategy optimization using game statistics

1. Real Estate and Housing Market Analysis

• House price prediction based on location and amenities

• Rental market trend analysis across regions

1. Customer Segmentation & Marketing Analytics

   • Clustering customers by purchasing behavior

   • Targeted ad campaign optimization

When choosing your capstone topic, consider the availability of quality data, your personal interests, and the scope required by your program or employer. Make sure to clearly define your problem statement and select appropriate evaluation metrics so you can measure the success of your solution.

Finally, projects that include end-to-end pipelines—data collection, cleaning, modeling, visualization, and deployment—tend to stand out to employers and academic evaluators alike.