●6 reads●MIT License
Peak Parent Playbook (PPP): An AI-Powered Coaching Assistant for Parents of Young Athletes
- AAIDC2025
- Agentic AI
- Chromadb
- groq
- LangChain
- LLM
- MCP
- OpenAI
- Python
- Vector Database
Table of contents
TL;DR / Abstract
The Peak Parent Playbook (PPP) is a Retrieval-Augmented Generation (RAG)-powered coaching assistant designed to help parents support their young athletes with confidence, clarity, and expert-backed guidance.
PPP integrates data scraping, semantic embedding, vector databases, and large language models (LLMs) to deliver accurate, context-driven answers to parents’ everyday questions about training, nutrition, recovery, and mindset.
Instead of searching through scattered articles, forums, and social media posts, parents can simply ask natural-language questions such as:
- “What should my child eat?”
- “Tell me about supplement variations for my kid.”
- “What’s the best way to motivate a 10-year-old after a loss?”
With responses grounded in curated, professional resources, PPP saves parents time, reduces uncertainty, and creates a positive support system that contributes to the child’s long-term success in sports.
🚨 The Problem We Solve
Parents of young athletes often feel overwhelmed by the contradictory information online, creating a crisis of confidence in youth sports parenting.
The Information Overload Challenge:
The current landscape of youth sports advice is chaotic and contradictory. Parents encounter situations where one authoritative article recommends high-protein diets for young athletes, while another equally credible source warns against excessive protein intake for developing children. Recovery advice presents an even more confusing picture, with recommendations ranging from mandatory daily rest periods to intensive nonstop practice schedules.
Emotional coaching guidance suffers from similar fragmentation, often consisting of scattered anecdotal tips rather than evidence-based strategies. Social media compounds this problem by amplifying voices of self-proclaimed "experts" who provide conflicting guidance without proper credentials or understanding of child development. Traditional resources like books and websites, while potentially more reliable, fail to provide the interactive, personalized responses that modern parents need for their specific situations.
Real-World Impact:
This fragmented information ecosystem creates serious consequences for families involved in youth sports. When parents rely on contradictory or inappropriate guidance, they risk harming their child's physical health through improper nutrition protocols or unsafe training practices. The psychological impact can be equally devastating, as inappropriate pressure or unrealistic expectations damage a child's mental well-being and relationship with sports.
These information gaps often create unnecessary conflict between parents and children around sports participation, leading to power struggles that undermine the positive aspects of athletic involvement. Perhaps most tragically, many young athletes experience early burnout and completely drop out of sports activities due to misguided parental approaches rooted in poor information. The constant uncertainty and conflicting advice generate unnecessary anxiety for both parents and their young athletes, turning what should be a positive family experience into a source of stress.
The Trust Gap:
Many parents report feeling uncertain about their role in their child's athletic journey, leading to either over-involvement (helicopter parenting) or complete disengagement. This uncertainty undermines the positive impact parents can have on their child's sports experience.
✅ Our Solution: Conversational AI Coaching Assistant
The Peak Parent Playbook addresses these challenges by providing a single, trusted resource that integrates multiple authoritative sources into one intelligent system. Our solution combines professional sports science from leading institutions like St. Louis Children's Hospital with evidence-based coaching insights from Sports Dietitians Australia and psychological support strategies from the Rutgers Youth Sports Program. This comprehensive knowledge base is made accessible through advanced AI-driven interaction that provides personalized, context-aware responses tailored to each family's specific needs.
How the Technology Works:
Our system operates through a sophisticated five-step process that ensures accuracy and relevance. First, during the data curation phase, PPP systematically scrapes and processes authoritative articles from trusted medical and sports organizations, ensuring that only verified, professional content enters our knowledge base. This curated information is then processed through intelligent storage systems, where knowledge is embedded and stored in a Chroma DB vector store using OpenAI's most advanced embedding models.
The user experience centers on natural conversation, allowing parents to ask questions in everyday language, just like talking to a knowledgeable friend who happens to be an expert in youth sports. Behind the scenes, our smart retrieval system works to find the most relevant context using semantic similarity matching, ensuring that responses draw from the most applicable information available. Finally, our expert response generation system creates personalized, evidence-based answers using Chain-of-Thought reasoning, which mirrors how human experts approach complex parenting questions.
The PPP Advantage:
Peak Parent Playbook offers several key advantages over traditional information sources. Parents gain instant access to expert guidance 24 hours a day, seven days a week, without the need to schedule appointments or wait for responses. The system ensures consistent information delivery because all responses are grounded in the same carefully curated trusted sources, eliminating the confusion that comes from conflicting advice.
Our AI demonstrates contextual understanding of the unique nuances involved in youth sports parenting, recognizing that advice must be tailored to factors like the child's age, sport, competitive level, and family dynamics. Most importantly, parents can trust that they're receiving safe and reliable guidance, completely free from unverified social media advice or conflicting opinions that plague other information sources.
No more endless Googling. Parents engage with an intelligent assistant that provides actionable, expert-backed guidance—anytime, anywhere, with the confidence that comes from trusted sources.
🎯 Target Audience
Peak Parent Playbook is designed to serve the entire youth sports ecosystem, recognizing that successful young athletes thrive when supported by well-informed families, coaches, and communities working together.
Primary Users:
Our main audience consists of parents of young athletes between ages 6 and 18, particularly those who are either new to youth sports and feel overwhelmed by the culture and expectations, or experienced parents seeking evidence-based guidance to improve their support strategies. These parents often find themselves caught between wanting to help their children succeed and worrying about doing or saying the wrong thing.
Youth coaches and educators represent another important user group, utilizing PPP as a supplementary resource for their own coaching education and as a tool to improve communication with parents. Community sports clubs have found value in incorporating PPP into their parent education programs and organizational support systems, helping create more informed and supportive sporting environments.
We also serve older teenage athletes (14+) who are ready for safe, age-appropriate self-learning about nutrition, training, and mental preparation, always with appropriate guidance and supervision.
Specific Use Cases:
New sports parents often feel completely overwhelmed by youth sports culture, unsure about everything from proper nutrition to appropriate sideline behavior. These parents benefit tremendously from PPP's comprehensive, non-judgmental guidance that helps them navigate this new world with confidence.
Experienced parents face different challenges, particularly when transitioning between different sports or age levels, where the rules and expectations change significantly. Single parents especially appreciate having accessible, reliable guidance available without requiring extensive research time that they may not have available.
Parents of specialized or elite young athletes seek performance optimization advice that goes beyond basic youth sports guidance, requiring more sophisticated understanding of training loads, competition preparation, and managing the pressures of high-level competition. Coaches also use PPP to educate parents about proper support strategies, helping create alignment between home and team environments.
Geographic & Demographic Reach:
PPP serves English-speaking families globally, designed as a free, accessible tool that works across all socioeconomic levels. The system is particularly valuable for both urban and rural communities with internet access, as it brings expert guidance to areas that may lack local sports science resources. Multi-sport families managing multiple children's athletic journeys find PPP especially helpful for coordinating different sports' requirements and managing complex family schedules.
By supporting the entire family unit, PPP bridges the communication gap between families, athletes, and coaches, creating a more informed and supportive youth sports environment.
🌟 Features & Benefits
🗣️ Natural Language Queries
Peak Parent Playbook revolutionizes how parents access sports guidance by allowing them to ask questions in plain English, exactly as they would speak to a knowledgeable friend or trusted expert. This natural interaction eliminates the need for technical knowledge, specialized terminology, or complex search strategies that often frustrate parents seeking quick answers to pressing questions about their child's athletic development.
🎯 Context-Aware, Evidence-Based Answers
Our carefully curated sports knowledge base draws exclusively from authoritative sources, ensuring that every response is grounded in professional expertise rather than opinion or speculation. This approach completely removes the misinformation that plagues online parenting forums and social media, building genuine trust between parents and the guidance system. The AI understands context and nuance, providing answers that consider the specific circumstances of each family's situation.
💻 Intuitive Web Interface
The Streamlit-based web interface provides a seamless user experience that runs smoothly on any device, from smartphones to desktop computers, without requiring any software installation or technical setup. Parents can access expert guidance whether they're at home, at the sports complex, or traveling to competitions, making professional-quality advice available whenever and wherever they need it.
⚡ Intelligent Document Processing
Behind the scenes, our sophisticated system employs advanced scraping, semantic chunking, and embedding technologies to process and organize vast amounts of professional sports science literature. This intelligent processing ensures that responses are not only accurate but also contextually relevant, drawing from the most appropriate sources for each specific question while maintaining the nuanced understanding that parents need for complex youth sports situations.
🛠️ Installation and Usage Instructions
### Quick Start # 1. Clone the Repository git clone https://github.com/danielkrasik3010/peak-parent-playbook cd peak-parent-playbook # 2. Create Virtual Environment python -m venv venv .\venv\Scripts\Activate # 3. Install Dependencies pip install -r requirements.txt # 4. Configure API Keys # Create a .env file and add your OpenAI or Groq API key # 5. Run Data Scraping python src/scrape.py # 6. Build Prompt for LLM python -m src.prompt_builder_final # 7. Create and Ingest Vector DB python -m src.create_and_ingest_vector_db # 8. Run the Agent python -m src.ppp_rag_agent # 9. Launch the Web Interface streamlit run UI/ui_app.py #10👉 Visit http://localhost:8501 and start exploring!
Take a look at the UI of the system
💡 Sample Queries for Parents
- “What should my 11-year-old eat before a soccer game?”
- “What supplements do I need to give to my child?”
- “What kind of support does my 14-year-old soccer athlete need?”
⚙️ Technical Specs / How It Works
Technology Stack
- Python – core development
- LangChain – orchestration framework
- OpenAI / Groq API – embeddings & text generation
- Chroma DB – vector storage
- Streamlit – web interface
RAG Workflow
- Parent inputs a question.
- Query → embeddings.
- Chroma DB retrieves top-K relevant passages.
- Prompt = context + query.
- LLM generates grounded, parent-friendly response.
- PPP outputs guidance with optional references.
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ User Query │ │ Query Embedding│ │ Vector Database │
│ "What should my │────▶│ (OpenAI) │────▶│ (ChromaDB) │
│ child eat?" │ │ │ │ │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│
┌─────────────────┐ ┌─────────────────┐ │
│ Final Response │ │ LLM Generation │ │
│ to Parent │◀───│ (GPT-4/Groq) │◀─────────────┘
│ │ │ │ Retrieved Context
└─────────────────┘ └─────────────────┘
Architecture Highlights
The system's architecture centers on data collection from exclusively trusted sources, including St. Louis Children's Hospital, Sports Dietitians Australia, and Rutgers Youth Sports programs. This careful source selection ensures that all information entering the system meets professional medical and sports science standards.
Our text processing approach uses semantic chunking with precisely calibrated 1000-character chunks and 200-character overlap, a configuration optimized for maintaining context preservation while enabling efficient retrieval. This technical specification ensures that related information stays connected across chunk boundaries, preventing the fragmentation that could lead to incomplete or misleading responses.
Storage utilizes Chroma DB embeddings with cosine similarity indexing, providing fast and accurate semantic matching between user queries and relevant content. The retrieval system employs Top-K similarity search with configurable thresholds, defaulting to 0.5 for balanced precision and recall, though this can be adjusted based on specific use cases or user preferences.
Response generation relies on Chain-of-Thought prompting methodology, which structures the AI's reasoning process to mirror how human experts approach complex youth sports questions. This ensures that answers are not only evidence-based but also logically structured and easy for parents to understand and implement. Finally, delivery occurs through a Streamlit web interface that supports real-time chat functionality, creating an engaging and responsive user experience.
Performance Metrics
The system's knowledge base consists of three comprehensive sports science and coaching documents sourced from leading institutions, providing broad coverage across nutrition, training, and psychological support domains. Response times consistently fall within the 4-8 second range, including both retrieval and generation phases, which represents an optimal balance between thoroughness and user experience expectations.
Accuracy is maintained through source-grounded answers that utilize distance-based relevance filtering, ensuring that only the most pertinent information contributes to each response. The chunk coverage strategy employs 400-800 tokens per chunk with semantic overlap, a configuration that maintains context continuity while enabling precise information retrieval for even complex, multi-faceted parenting questions.
System Architecture Diagram
┌─────────────────────────────────────────────────────────────────────────────┐
│ PEAK PARENT PLAYBOOK SYSTEM │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ SCRAPE │ │ EMBED │ │ STORE │ │ RETRIEVE │ │
│ │ │ │ │ │ │ │ │ │
│ │ • HTML/PDF │───▶│ OpenAI │───▶│ ChromaDB │───▶│ Query │ │
│ │ • St.Louis │ │ Embeddings │ │ Vector │ │ Processing │ │
│ │ • SDA │ │ (3-large) │ │ Store │ │ (Cosine) │ │
│ │ • Rutgers │ │ │ │ │ │ │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │
│ │ GENERATE │ │ PROMPT │ │ CONTEXT │◀──────────┘ │
│ │ │ │ │ │ │ │
│ │ • GPT-4 │◀───│ Chain-of- │◀───│ Retrieved │ │
│ │ • Groq │ │ Thought │ │ Documents │ │
│ │ • Response │ │ Strategy │ │ (Top-K) │ │
│ │ │ │ │ │ │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ STREAMLIT UI │ │
│ │ • Chat Interface • LLM Selection • Retrieval Controls │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────────────────┘
User Interface Screenshots
Main Chat Interface:
┌──────────────────────────────────────────────────────────────────┐
│ 🏅 Peak Parent Playbook │
├──────────────────────────────────────────────────────────────────┤
│ Configuration │
│ ◯ OpenAI ● Groq │
│ Retrieval threshold: ████████░░ 0.5 │
│ Top K results: ████░░░░░░ 5 │
├──────────────────────────────────────────────────────────────────┤
│ 💬 Ask your question │
│ ┌────────────────────────────────────────────────────────────┐ │
│ │ What should my child eat before training? │ │
│ └────────────────────────────────────────────────────────────┘ │
│ [Send] │
├──────────────────────────────────────────────────────────────────┤
│ You: What should my child eat before training? │
│ │
│ Peak Parent Playbook: **PRE-TRAINING NUTRITION:** │
│ • Carbohydrates for energy (bread, pasta, fruit) │
│ • Light protein sources │
│ • Hydration is essential │
│ • Avoid heavy meals 2-3 hours before training │
└──────────────────────────────────────────────────────────────────┘
Example Response Format:
Peak Parent Playbook Response:
┌─────────────────────────────────────────────────────────────────┐
│ **CHILD ATHLETE NUTRITION:** │
│ │
│ **1. Carbohydrates:** │
│ • Bread and cereal products │
│ • Pasta and rice │
│ • Fruits and starchy vegetables │
│ │
│ **2. Protein:** │
│ • Chicken, tuna, cheese, eggs │
│ │
│ **3. Post-Training Recovery:** │
│ • Protein + vegetables + carbohydrates │
│ • Example: Tuna salad with brown rice │
└─────────────────────────────────────────────────────────────────┘
⚠️ Limitations and Future Work
Current Limitations
The current system operates with a focused but limited knowledge base consisting of three comprehensive documents, which, while authoritative, represents only a fraction of the available sports science literature. This limitation means that some specialized or emerging topics in youth sports may not receive comprehensive coverage. Additionally, the system requires manual updates when new knowledge becomes available, creating potential delays in incorporating the latest research findings and best practices.
Language support is currently limited to English, which restricts accessibility for non-English speaking families who could benefit from evidence-based youth sports guidance. The system may also struggle with highly personalized advice that requires consideration of multiple complex factors simultaneously, such as managing a child with both dietary restrictions and multiple sport commitments during overlapping competitive seasons.
Roadmap
Future development plans include significant expansion of the knowledge base through strategic collaborations with doctors, nutritionists, sports psychologists, and other relevant professionals. This expansion will provide more comprehensive coverage of specialized topics and ensure that the system stays current with evolving best practices in youth sports.
We plan to implement athlete-specific profiles that will enable more sophisticated personalization, taking into account factors such as age, sport type, competitive level, medical history, and family circumstances. Multilingual support represents another major development priority, beginning with Spanish and expanding to other languages based on user demand and community needs.
Long-term technical enhancements include developing a voice-based assistant optimized for mobile devices, making the system even more accessible for busy parents who need quick guidance while traveling to practices and competitions.
ℹ️ About Peak Parent Playbook
Mission: Empower parents to confidently guide their young athletes through sports and life.
By combining professional expertise with cutting-edge AI, PPP transforms overwhelming, scattered resources into clear, supportive, personalized guidance.
📱 Vision: A digital coach-in-your-pocket that makes expert athletic guidance accessible to every family—anytime, anywhere.
📂 Meta Information
- Category: Tool / App / Software
- Difficulty Level: Beginner–Intermediate
- Setup Time: ~20 minutes
- Prerequisites: Basic Python & API keys
- License: MIT License