My experience using AI applications to explore emotion recognition for children with autism helped me get into Stanford. With STEMRISE teachers' guidance, I built a model using PyTorch and trained it with Stanford's public dataset. The school professors praised it as 'combining technical application with social value'. From data model optimization to GitHub open-source community collaboration, and securing summer testing cooperation with local hospitals, I gradually understood the true meaning of using technology to change the world. Getting into my dream school wasn't about perfect scores, but about using technology to bring warmth to the world.

Symbolic Systems/Stanford University

The learning experience here not only helped me solidify my programming foundation but also built my ability to apply computational methods to scientific problems. The 'Air Quality Prediction' project I completed with STEMRISE teachers perfectly combined programming, algorithm basics, and environmental science, becoming a highlight in my application essays that hit the core competencies most valued by McGill's science program!

Math and Computer Sciences/McGill University

During high school, I systematically learned and completed two data science practical projects at STEM RISE: optimizing traffic light systems through urban traffic data analysis and developing a social media sentiment analysis tool using NLP technology. With the teachers' help, I improved my math and computer course grades through programming, achieved high scores in AP Statistics, and advanced to the top 15% in Kaggle competitions. My application highlighted my ability to solve real-world problems with data science, ultimately earning me an admission letter to UBC's Data Science program.

Data Science/University of British Columbia

I started with Python at STEMRISE, and because of my interest, I went on to learn JavaScript and SQL. Learning programming not only improved my academic performance but also gave me rich activity experience. With the teachers' help, I could not only include my business analysis results in my college application materials but also build my own report website. Applying technical thinking to social science research is really cool! Getting my dream school offer, I sincerely thank STEMRISE teachers for teaching me the ability to create with code.

Sociology/UC Berkeley

In high school, with STEMRISE teachers' help, I created an APP for a community youth book club project, mainly helping middle school students develop reading habits. We read books together and discussed social topics like school bullying and family relationships. STEMRISE teachers taught me to create a personal 'Social Cognition' project report website with these real stories. Because I did projects valuable to community and social research, plus my AP scores, my grades weren't necessarily the best, but I highlighted my understanding and passion for social sciences and humanities, which moved the admissions officers to give me admission to my dream school.

Arts in Sociology/UC Irvine

Thanks to the teachers' planning, I quickly mastered Java and Python technology in high school and was guided to complete an independent development project that was delivered online. Additionally, my Github and USACO competition results could serve as application highlights. Through enterprise cooperation projects, I also participated in developing a campus service program. These solid development experiences allowed my essays to fully demonstrate engineering practical abilities. STEMRISE's precise positioning helped me get my ideal major offer in intense competition.

CS/University of Michigan

STEMRISE helped me build core competitiveness for CS major applications: through continuous learning of Python, Java, and AI, my computer course average reached 96, and I advanced to the national level in CCC competitions. The University of Toronto admissions officer mentioned in the admission feedback that my "personal task management system" project - using programming and basic algorithms combined with AI to solve practical problems - was a great approach! STEMRISE mentors not only taught me to code but also how to tell stories with technology, an ability that helped me stand out in the supplementary application video session.

Computer Science/University of Toronto

The days of learning while playing at STEMRISE really helped pave my way to university and opened the door to Waterloo's most competitive Honours Math/BBA program! Through Python learning, my grades far exceeded the Honours course threshold, and my competition results reached the top 10%. The mentors not only guided me to complete a retail demand forecasting capstone project but also helped me optimize the key 'mathematics solving business problems' case in my AIF application essay. Applying programming thinking to business case scenarios is the coolest part of STEMRISE courses. Every step of learning here brought me closer to my Dream School.

Mathematics/Business Administration/University of Waterloo