Archive · 1 Sep 2026
13-Year-Old Builds AI Study App Without Coding Skills
Zhu Shuhan is a 13-year-old student from Shanghai, China.
She made an app called Zai Chang, which means “On Site.”
The app acts like a virtual parent while children study.
Parents can upload a photo, and the app can alert them if a child uses a phone or leaves their seat.
It also helps students organise study schedules, understand notes, and make practice quizzes.
Zhu said she created it because busy parents may not always be able to study with their children.
She did not know how to code and started using AI only last year.
Her app received 90 orders and earned 18,000 yuan in three days.
She also won third prize and 5,000 yuan at an AI competition in Hangzhou.
Zhu Shuhan, a 13-year-old student in Shanghai, developed the AI-powered Zai Chang app.
The app helps parents supervise children’s study habits and encourages students to stay focused.
Zhu had no formal programming background and began using AI only last year.
Zai Chang received 90 orders and generated 18,000 yuan in sales during three days.
She won third prize and an additional 5,000 yuan at a Hangzhou AI competition judged by product earnings.
- Who
- Zhu Shuhan, a 13-year-old Grade 2 student in Shanghai, China.
- What
- She developed Zai Chang, an AI-powered app for supervising children during study time and helping them concentrate.
- When
- The app was showcased from August 21 to 23; the articles do not specify the year.
- Where
- At a national AI product marketing competition in Hangzhou, China.
- Why
- Zhu wanted to help children improve self-discipline and support parents who are too busy to supervise their children’s studies.
- Developer
- Zhu Shuhan, age 13
- App
- Zai Chang, translated as “On Site”
- Purpose
- Supervises children during study and helps them concentrate
- Technical background
- No formal programming or coding background
- Sales
- 18,000 yuan from 90 orders in three days
- Competition prize
- Third prize and 5,000 yuan
- Competition format
- 50 participants; winners were selected based on product earnings
