Avyakt Agrawal
Innovator, researcher, curious. Solving real-world problems through technology, math, policy, philosophy, and history.
About
I develop practical solutions for everyday challenges — from AI-powered education tools to hardware prototypes. Projects include QuizBee, ZappNet, and a patent-pending Smart Windshield Air Curtain.
Action shot—building and shipping.
Products
QuizBee
AI-powered study platform that generates customized quizzes to improve learning outcomes.
VisitSmart Windshield Air Curtain
Patent-pending innovation improving visibility in adverse weather. Currently in second prototype phase.
VisitZappNet
Electronic mosquito net designed to reduce diseases like dengue by offering effective protection.
VisitLeadership & Activities
Policy Debate
Attended Georgetown Debate Camp (2023, 2024) and Dartmouth University Camp (2024). Mentors and judges for debate teams.
School Leadership
- Science Olympiad
- Technology Club
- Legal Studies Group
- Science Olympiad
- Technology Club
- Legal Studies Group
- Captain, Quiz Bowl (State champions)
- Founded Hack Club
- Tech Club
- UNICEF
- President, Quiz Bowl & History Bowl
- President, Hack Club
- Board Member, Think Tank Club
- Service Leadership Board
Projects
Matchmaker
Valentine's Day survey using cosine similarity on a high-dimensional matrix to match students; results visualized with Matplotlib and NumPy for the school newspaper.
Manage (WA Daily)
Online platform managing high school schedules and menus, serving 300 students daily.
Maymester
Scheduling tool that saved administrators roughly a month of manual effort.
Service Projects
Built features like service goals in WA Daily and automated carnations; ongoing technical initiatives for the community.
Research
Mitigating Cognitive Biases in Education: The Role of AI-Generated Quizzes in Enhancing Student Learning Outcomes
Literature survey that inspired the development of the QuizBee platform.
Read publicationA Novel Adaptive Learning Framework Integrating Item Response Theory, Bayesian Knowledge Tracing and Deep Learning with Confidence Calibrated Feedback
University of California, Berkeley - IEMCon 2025
Novel algorithm that determines question difficulty and motivates student to complete the quiz
Experience & Skills
AI Intern
Contributed to ML algorithms for robotic surgical systems: real-time data analysis, image recognition, and optimization of pre-op and intra-op models.
Sports Statistician
Analyzed athletic performance data, surfaced insights for coaches, tracked metrics, and presented trends to improve player development.
Technical skills
Awards & Honors
Regeneron Science Talent Search Top 300 Scholar
Senior STAR Student Award Recipient
National Debate Tournament Semifinalist
National Merit Semifinalist
College Board National Recognition Program Awardee
AP Scholar with Distinction (College Board)
Rensselaer Medal Award (STEM)
Georgia Certificate of Merit (2025)
Gold Eagle Award (3x: 2023, 2024, 2025)
Moonshot Award by Project Invent (2025)
First Place, Quiz Bowl, GATA State Championship (2024)
Quiz Bowl Nationals Qualifier (2024)
Science Olympiad — 5th in Optics (Brookwood Invitational, 2024)
Policy Debate — multiple Top 3 speaker awards; Top 15 in Georgia
Professional Development
- Georgetown University Debate Camp
- Georgetown University Debate Camp
- Dartmouth University Camp
- CS50 AI (Harvard)
- PCEP — Certified Entry-Level Python Programmer
- Leadership in Business World (Wharton)
- Michigan Debate Institute
Clients
News
Senior Named Top 300 Scholar in Regeneron Science Talent Search
Read article
Debate Team Advances to Semifinals at First National Tournament of the Season
Read article
Students win Moonshot Award for Smart Attendance Scanner at Project Invent Demo Day
Read article
Blog
1 in 4 Students Can't Do Homework Without AI: What That Means for Our Problem-Solving Skills
A study shows 1 in 4 students rely on AI for homework, raising concerns about the loss of problem-solving and critical thinking skills.
Why Non-Technical Feedback Is Key to Building Better Products
Non-technical feedback reveals key insights like user motivations, product clarity, and assumptions, helping build more intuitive products.
18-Year-Old Matteo Paz Discovers 1.5 Million Cosmic Objects Using AI
Matteo Paz, an 18-year-old, used AI to analyze NASA data, discovering 1.5 million new cosmic objects.