“What surprised me was the change within a month. Earlier she didn’t know this at all, and now she’s explaining code and reviews to me.”

“The structure is strong, the target audience is right, and the mentorship encourages daily progress. It’s an exciting time for students who get this early exposure.”

“What impressed us most was her ability to move from an idea to a product-level thought process. That kind of thinking doesn’t usually come from school learning.”

“When my 15-year-old started talking about creating API keys, I was genuinely impressed. That’s not something most students his age understand.”

“Seeing how his project could relate to real-time, practical applications would make the learning even stronger. The program already encourages that kind of thinking.”

“The structure, mentorship, and emphasis on real-world application make this a unique experience. It’s a strong foundation for any student serious about AI development.”

“It’s good to know that even after the program, she can stay in touch with mentors for guidance if she wants to take the project further.”

“We tried online lectures from places like MIT, but they’re very theory heavy. What I liked here is that students can jump straight into building and learn along the way.”

“This experience will be valuable for his college applications. It demonstrates initiative, problem-solving, and focus on AI in engineering.”

“Hrithik came in without exposure to AI, but now he understands core concepts, can program in Python, call APIs, and even build a full app end-to-end.”

“Compared to other programs and hackathons Hemang has done, this felt more structured and well guided.”

“My son chose this program himself, he stayed highly motivated throughout, and it gave him a meaningful introduction to AI and ML.”