Track
Creative Apps (GitHub Copilot)
Project Name
"NeuroLearn AI"
GitHub Username
@anusrisingaravel
Repository URL
https://github.com/anusrisingaravel/NEUROLEARN-AI
Project Description
Project Description: Briefly summarize that your app acts as an intelligent study companion that breaks down complex technical subjects into 7-day, milestone-based learning paths to reduce cognitive load.
Demo Video or Screenshots
https://www.loom.com/share/d982b94f956c49d7aaeb683db99e01c2
Primary Programming Language
Python
Key Technologies Used
Python, Streamlit, and any specific Azure or AI libraries.
Submission Type
Individual
Team Members
Submission Requirements
Quick Setup Summary
Clone the repo.
Install dependencies (pip install -r requirements.txt).
Run the app (e.g., streamlit run app.py).
Technical Highlights
the implementation of your 7-day milestone logic and the use of an agentic approach for study planning.
Challenges & Learnings
"My biggest challenge was ensuring the AI didn't hallucinate when breaking down complex algorithms. I solved this by implementing a grounding mechanism with Foundry IQ, ensuring the 7-day plan is strictly based on the provided technical documents."
Contact Information
anusrisingaravel7@gmail.com
Country/Region
india
Track
Creative Apps (GitHub Copilot)
Project Name
"NeuroLearn AI"
GitHub Username
@anusrisingaravel
Repository URL
https://github.com/anusrisingaravel/NEUROLEARN-AI
Project Description
Project Description: Briefly summarize that your app acts as an intelligent study companion that breaks down complex technical subjects into 7-day, milestone-based learning paths to reduce cognitive load.
Demo Video or Screenshots
https://www.loom.com/share/d982b94f956c49d7aaeb683db99e01c2
Primary Programming Language
Python
Key Technologies Used
Python, Streamlit, and any specific Azure or AI libraries.
Submission Type
Individual
Team Members
Submission Requirements
Quick Setup Summary
Clone the repo.
Install dependencies (pip install -r requirements.txt).
Run the app (e.g., streamlit run app.py).
Technical Highlights
the implementation of your 7-day milestone logic and the use of an agentic approach for study planning.
Challenges & Learnings
"My biggest challenge was ensuring the AI didn't hallucinate when breaking down complex algorithms. I solved this by implementing a grounding mechanism with Foundry IQ, ensuring the 7-day plan is strictly based on the provided technical documents."
Contact Information
anusrisingaravel7@gmail.com
Country/Region
india