emotional-intelligence
license: mit
inference: true
Study Buddy AI v2.1
A fine-tuned version of Microsoft's Phi-2, trained to stay faithful to retrieved data and think in chains of thought. A study assistant that helps users learn deeply through conversation. Designed for real-time interaction inside a lightweight web app.
Model Logo
Model Details:
Model Description
Study Buddy AI is built on microsoft/phi-2 and fine-tuned using PEFT (Parameter-Efficient Fine-Tuning). It was trained to behave like a study partner — casual, reasoning, encouraging, and deeply helpful for academic subjects and personal growth.
Features
Friendly tone tailored for Gen Z and students
Explains complex topics using simple language
Emotionally intelligent responses — supportive and motivational
Great for studying, reviewing, or breaking down hard concepts
Use Cases
Personal tutoring via chat
Homework help and study review
Emotional motivation during learning sessions
Supplementing lessons with a relatable assistant
Limitations
Best used in short back-and-forths, not long essays
Training & Fine-Tuning
Base model: microsoft/phi-2
Fine-tuning method: LoRA via the peft library
Custom dataset: 3,000+ curated prompts focused on simplified teaching, multi-step thinking, and staying loyal to retrieved data.
Hosted via: Hugging Face Inference Endpoints (GPU-backed)
How It Works
Frontend ➝ Flask API ➝ Hugging Face Model ➝ Response ➝ KnowBetter Logic (to clean output)
Built to run inside a React + Flask stack with CORS enabled and token-secured backend access to Hugging Face.
Model Creator
Creator: Micah Miles GitHub/Contact: redmint-him Team: Redmint Project: Study Buddy AI
License
This model is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
You are free to:
Use the model for personal or educational purposes
Modify, remix, or build upon it
You may not:
Sell, sublicense, or use the model or its outputs for any commercial purposes
