The Yuanqi Brain app is an intelligent virtual assistant that can help users complete volunteer applications more conveniently, thereby improving their grades and university admission success rate. It can help users complete volunteer application forms based on factors such as their subject scores, subject rankings, and hobbies. Users recommend the most suitable universities and majors.
1. Provides a voluntary application plan simulation function, which can tailor a voluntary application plan for users based on their academic performance, cultural courses and other factors;
2. Through this function, users can easily predict their possible admission status, thereby adjusting their plans and improving their success rate;
3. It can provide real-time guidance and suggestions to help users optimize their plans and make themselves more competitive.
1. Based on advanced algorithms and big data systems, it allows users to achieve outstanding changes with the help of three-dimensional and accurate personalized assistance;
2. You can make friends with like-minded people, exchange experiences with each other, and then adjust your own reporting strategies to improve your success rate;
3. The Chinese vertical social scene between users according to market needs not only provides users with efficient services during daily communication.
1. This application also adds social and interactive elements, allowing users to establish friendships and assist each other;
2. A series of functions and user experience have been fully explored and reflected, making it quite competitive in the market competition;
3. Integrating the intelligent AI tutoring module into the assistant program can help users provide accurate, real-time and targeted tutoring during the volunteer application process.
1. This outstanding advantage allows users to complete their reporting work more effectively throughout the entire reporting process;
2. You can get accurate and authoritative information and suggestions, so that you can make appropriate life plans based on your own advantages;
3. Recommend the best solution to users based on factors such as their academic performance, interests, hobbies, and strengths.