Don’t settle for “toy” projects. Join the HighScores.ai core team for 8 weeks to build, deploy, and scale production features using the industry’s most advanced AI tech stack.
“This isn’t a coding camp. It’s a technical fellowship where high-achieving students work on the same architectural bottlenecks I solve every day at HighScores.ai. My goal is to help you build a portfolio that admissions officers at Stanford and MIT can’t ignore.”
Founder of HighScores.ai | CS Educator | AP Computer Science Specialist
Select a core track. Each project represents a high-stakes engineering bottleneck at HighScores.ai.
Static study plans are dead. You will engineer a Constraint-Satisfaction Engine that takes student diagnostic data and outputs an 8-week optimized learning trajectory based on the student’s “Point-per-Hour” return.
Balancing SAT unit weightage against student fatigue and daily time constraints using weighted scoring models.
"Architected an automated pedagogical engine utilizing recursive logic and optimization algorithms."
# Optimization Logic Mockup
plan = calculate_path(score_gap, hours_available, unit_weights)
optimized_schedule = priority_queue.fit(plan)
Library
Structure
Synthesis
Scale our question bank by 10x. You will build a Prompt-Chaining Pipeline that “clones” existing math problems, changing the narrative context and variables while ensuring the pedagogical difficulty remains identical.
Preventing AI hallucinations in mathematical proofs and outputting valid LaTeX formatted code consistently.
"Engineered a Generative AI pipeline utilizing few-shot prompting and symbolic verification agents."
“John has 5 apples and buys 3 more…”
Why did the student miss the question? You will build a Diagnostic Classifier that analyzes “distractors” (wrong answers) to identify the mental misconception (e.g., calculation error vs. conceptual misunderstanding).
Classifying qualitative error patterns using LLMs and mapping them to a taxonomy of cognitive biases.
"Developed an NLP-driven error profiler to automate qualitative student feedback at scale."
Automated Weakness Classification
Help us automate the migration of legacy content. You will build a Document-to-JSON Pipeline that handles unstructured Word and PDF documents, extracting logic and formatting using LLM schema mapping.
Writing robust data validation scripts in Python to verify the integrity of AI-parsed JSON schemas.
"Engineered a production-ready ETL pipeline for large-scale ingestion of unstructured educational data."
{
"question": "What is 2x+3=7?",
"options": ["x=1", "x=2", "x=4", "x=0"],
"difficulty": 0.45,
"category": "Algebra I"
}Build the technology that powers the Digital SAT. You will implement Item Response Theory (IRT) to estimate student ability in real-time and select the next optimal question from the bank.
Implementing maximum likelihood estimation logic for ability parameters using Python (NumPy).
"Developed a Computerized Adaptive Testing (CAT) system utilizing 2-Parameter IRT models."
Real-Time Ability Estimation Graph
Automate student support with accuracy. You will build a Retrieval-Augmented Generation (RAG) help bot that “reads” our entire technical manual and answers user queries without hallucinating.
Mastering Vector Embeddings and Semantic Search using ChromaDB or FAISS to ground LLM responses.
"Engineered a production-ready RAG agent utilizing Vector Databases and semantic similarity search."
How do I reset my diagnostic?
A formal, Founder-signed letter detailing the specific AI technologies you mastered for your college applications.
We guide you in building a professional GitHub repository with clean documentation for admissions officers to review.
Proof of impact. Successful projects are deployed to the live HighScores.ai platform used by thousands of users.
This isn’t just a summer program; it’s a verifiable professional career milestone. Only 10 seats available per cohort.
We maintain a “Safety Net” Policy. Our Teaching Assistants (college CS majors) provide daily 1-on-1 office hours to ensure no student falls behind due to syntax or environmental issues. We focus on the high-level architecture.
We maintain a “Safety Net” Policy. Our Teaching Assistants (college CS majors) provide daily 1-on-1 office hours to ensure no student falls behind due to syntax or environmental issues. We focus on the high-level architecture.
Request the 5-Question CodeMode Assessment Link below.
