Overview

A fine-tuned Mistral-7B model using LoRA + Unsloth that acts as an AI career advisor.
It analyzes resumes and provides personalized feedback, job role suggestions, and skill recommendations.

Training Details

Base model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Fine-tuning method: LoRA (PEFT)
Frameworks: Unsloth, Transformers, TRL

Dataset

UpdatedResumeDataSet.csv — labeled resume data
Dataset Project 404.xlsx — multiple-intelligence career mapping

Features

Provides resume score and feedback
Suggests suitable job roles and upskilling paths
Lightweight 4-bit fine-tuned model for efficient inference

Intended Use

This model is intended for educational and research purposes related to AI-driven career guidance systems.

License

MIT License Overview: A fine-tuned Mistral-7B model using LoRA + Unsloth that acts as an AI career advisor. It analyzes resumes and provides personalized feedback, job role suggestions, and skill recommendations.

Training Details:

Base model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit

Fine-tuning method: LoRA (PEFT)

Frameworks: Unsloth, Transformers, TRL

Dataset:

UpdatedResumeDataSet.csv – labeled resume data

Dataset Project 404.xlsx – multiple-intelligence career mapping

Features:

Upload a resume (.pdf, .docx, .txt) or paste text

Receive personalized resume feedback

Get career path and skill recommendations

Runs locally or via Hugging Face Spaces

Tech Stack: Python, Unsloth, Hugging Face Transformers, PEFT, Gradio, PyPDF2, python-docx

Developed by: anerudh10
License: apache-2.0
Finetuned from model : unsloth/mistral-7b-instruct-v0.3-bnb-4bit

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

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Evaluation results

qualitative_evaluation on Career Coach Resume Dataset
self-reported

Consistent and context-aware feedback on resumes