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SmartPath AI: Personalized Study Plan Generator Pitch Deck

Discover SmartPath AI, an innovative edu-tech prototype using Llama3 to generate adaptive, personalized study plans from course syllabi.

#edu-tech#personalized-learning#pitch-deck#artificial-intelligence#study-planner#hackathon-project#llama3#edtech
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Pitch

SmartPath AI

Personalized Study Plan Generator Prototype Hackathon Selection Pitch 2026

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The Problem: The 'One Size Fits All' Gap

Traditional education relies on static syllabi that fail to account for individual learning speeds, strengths, and schedule constraints. Students are overwhelmed by material volume and lack a structured strategy to tackle weak areas, leading to procrastination and inefficient cramming.

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Student Pain Points

Our pre-hackathon survey of 500 students revealed that time management and lack of structure are the primary barriers to academic success, creating a critical need for automated planning tools.

Chart
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The Solution: Dynamic AI Planning

SmartPath AI ingests course syllabi and personal constraints to output adaptive schedules.

Adaptive Scheduling: Automatic re-planning when a session is missed.

Content Parsing: LLM-based extraction of key topics from PDF/Text.

Resource Matching: Suggests videos and articles for identified weak spots.

Progress Analytics: Visualizes retention rates and study streaks.

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Prototype Workflow

1. User uploads syllabus (PDF/Image). 2. User sets exam date and daily availability. 3. System generates a calendar view with modular study blocks. 4. User checks off items; system learns completion velocity.

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Market Impact Potential

The personalized learning market is expanding rapidly. Our prototype targets the high-growth sector of AI-assisted self-study tools, capitalizing on the shift away from generic textbooks.

Chart
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Tech Stack Architecture

• Frontend: React Native (Mobile First) • Backend: Python / FastAPI • AI Engine: Llama3 (Fine-tuned for Education) • Database: PostgreSQL + Vector Store for Knowledge Retrieval • Infrastructure: Cloud-native containerized microservices.

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"Technology should not replace learning; it should clear the path so the mind can focus on what matters."

- Vision Statement

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Roadmap: Hackathon to Launch

1
Phase 1 (Hackathon): Complete MVP with syllabus parsing and basic calendar generation.
2
Phase 2 (Month 1): Integrate Google Calendar API and push notifications.
3
Phase 3 (Month 3): Beta testing with 50 local university students.
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Let's Build the Future of Learning

Team SmartPath | github.com/smartpath-proto

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SmartPath AI: Personalized Study Plan Generator Pitch Deck

Discover SmartPath AI, an innovative edu-tech prototype using Llama3 to generate adaptive, personalized study plans from course syllabi.

SmartPath AI

Personalized Study Plan Generator Prototype Hackathon Selection Pitch 2026

The Problem: The 'One Size Fits All' Gap

Traditional education relies on static syllabi that fail to account for individual learning speeds, strengths, and schedule constraints. Students are overwhelmed by material volume and lack a structured strategy to tackle weak areas, leading to procrastination and inefficient cramming.

Student Pain Points

Our pre-hackathon survey of 500 students revealed that time management and lack of structure are the primary barriers to academic success, creating a critical need for automated planning tools.

The Solution: Dynamic AI Planning

SmartPath AI ingests course syllabi and personal constraints to output adaptive schedules.

Adaptive Scheduling: Automatic re-planning when a session is missed.

Content Parsing: LLM-based extraction of key topics from PDF/Text.

Resource Matching: Suggests videos and articles for identified weak spots.

Progress Analytics: Visualizes retention rates and study streaks.

Prototype Workflow

1. User uploads syllabus (PDF/Image). 2. User sets exam date and daily availability. 3. System generates a calendar view with modular study blocks. 4. User checks off items; system learns completion velocity.

Market Impact Potential

The personalized learning market is expanding rapidly. Our prototype targets the high-growth sector of AI-assisted self-study tools, capitalizing on the shift away from generic textbooks.

Tech Stack Architecture

• Frontend: React Native (Mobile First) • Backend: Python / FastAPI • AI Engine: Llama3 (Fine-tuned for Education) • Database: PostgreSQL + Vector Store for Knowledge Retrieval • Infrastructure: Cloud-native containerized microservices.

Technology should not replace learning; it should clear the path so the mind can focus on what matters.

- Vision Statement

Roadmap: Hackathon to Launch

Phase 1 (Hackathon): Complete MVP with syllabus parsing and basic calendar generation.

Phase 2 (Month 1): Integrate Google Calendar API and push notifications.

Phase 3 (Month 3): Beta testing with 50 local university students.

Let's Build the Future of Learning

Team SmartPath | github.com/smartpath-proto

  • edu-tech
  • personalized-learning
  • pitch-deck
  • artificial-intelligence
  • study-planner
  • hackathon-project
  • llama3
  • edtech