sravanirc/learning-ladder-ai

learning-ladder-ai

Learning Ladder AI

Plan. Learn. Achieve. With AI by your side.

🚀 Live Demo

Overview

Learning Ladder AI is an AI-powered learning goal planner that helps users break down ambitious learning goals into structured, achievable plans. Whether you're starting a new subject or upskilling for your career, Learning Ladder AI acts as your intelligent assistant — organizing your journey step-by-step.

Built using Langflow and GroqAI, this no-code MVP demonstrates how dynamic AI agents can support goal-setting, planning, and resource discovery — all through natural language.

What Has Been Done So Far

• —Developed a clean, responsive Streamlit UI for users to input:
• —Learning Topic (goal)
• —Preferred Duration
• —Experience Level (Beginner, Intermediate, Advanced)
• —Integration with an AI backend via REST API (using environment variables for secure token and endpoint handling)
• —Generated learning plans returned and displayed with:
• —An Overview table (desktop only, with scroll on mobile)
• —A weekly plan breakdown, optimized for readability across devices
• —Custom styling for buttons and layout to enhance UX without excess complexity
• —Error handling for API responses and JSON parsing issues
• —Responsive design considerations including:
• —Hiding large tables on small screens with scrollbars to prevent overflow
• —Simplified and minimal CSS to keep the app lightweight and fast

Key Features

• —Breaks learning goals into weekly milestones
• —Recommends curated learning resources
• —(Future) Calendar or reminder integration
• —Context-aware, memory-driven conversations
• —Built with Responsible AI guardrails

Example Use Case

User: I want to learn Python for data analysis in 4 weeks. Learning Ladder AI: Here's your weekly plan with goals and handpicked resources to guide your journey.

Tech Stack

• —Langflow – No-code agent builder
• —[Grok AI]
• —JSON-exported Langflow flows
• —Streamlit – Frontend app framework

Screenshots / Demo

🚀 Live Coming soon...

Contributing

This is an MVP built for the Cajigo Bootcamp — currently under active development. Feedback and collaboration welcome!

How to Run

# Activate virtual environment
source .venv/Scripts/activate   

# Install dependencies (run once or after deleting .venv)
pip install -r requirements.txt

# Run the app locally
streamlit run app.py