README.md

---
license: mit
tags:
  - text-generation
  - study-assistant
  - emotionally-intelligent
  - casual-ai
inference: true
language:
  - en
library_name: transformers
pipeline_tag: text-generation
widget:
  - text: "Can you help me study math?"
---


---
base_model: microsoft/phi-2
library_name: peft
tags:
  - study-assistant
  - education
  - phi-2
  - fine-tuned
  - emotional-intelligence
license: mit
inference: true
---

# Study Buddy AI (Lite)

A fine-tuned version of Microsoft's Phi-2, trained to act as a casual, emotionally intelligent study assistant that helps users learn deeply through conversation. Designed for real-time interaction inside a lightweight web app.

![Model Logo Placeholder](logo.png) <!-- Replace this with your logo when ready -->

## Model Details

### Model Description

Study Buddy AI Lite 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, kind, 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

- May hallucinate and respond as user which you can cut out in frontend files
- 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, emotional tone, and helpful behavior
- **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 Lite

## License

This model is licensed under the [MIT License](https://opensource.org/licenses/MIT). You can use, modify, or remix it with attribution.

---

✨ “Never back down. Never give up.” — This is for every student who wanted to learn differently.

I'm just a kid with a dream.