AI-Powered Resume Generator: A Mini Project
Creating an AI-Powered Resume Generator is a great mini project that combines natural language processing, user interaction, and possibly some basic design elements. Here's a concise outline to help you build this project step-by-step.
π§ Project Title:
AI-Powered Resume Generator
π― Objective:
To create a tool that takes a user's input (such as education, experience, skills, etc.) and generates a well-formatted, professional resume using AI and pre-designed templates.
π§° Tech Stack:
Frontend (Optional): HTML/CSS, JavaScript, React
Backend: Python (Flask or FastAPI)
AI/NLP: OpenAI GPT-4 (or HuggingFace Transformers)
Template Engine: Jinja2 or LaTeX (for PDF generation)
Storage (Optional): SQLite or Firebase (to save user inputs)
PDF Generation: ReportLab, WeasyPrint, or pdfkit + HTML templates
π️ Key Features:
User Input Form:
Personal Info
Education
Work Experience
Skills
Projects
Certifications
Languages
AI Integration:
Summarize experiences using GPT (e.g., convert bullet points into polished descriptions)
Generate objective/summary sections
Template Selection:
Offer multiple design templates
Dark/Light modes
Download Options:
Export as PDF
Preview in browser
Bonus Features (Optional):
Import data from LinkedIn or upload JSON
Real-time resume tips
ATS (Applicant Tracking System) compatibility checker
π§ How AI is Used:
Summarization: Turn user bullet points into professionally worded sentences.
Customization: Adjust tone (e.g., formal vs. friendly).
Filling Gaps: Generate content for empty sections (e.g., cover letter suggestions).
Error Correction: Grammar and spelling fixes.
π Folder Structure Example:
vbnet
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resume-generator/
│
├── templates/
│ └── resume_template1.html
│ └── resume_template2.html
│
├── static/
│ └── css/
│ └── js/
│
├── app.py
├── ai_module.py
├── requirements.txt
└── README.md
✅ Sample Flow:
User fills out a form with personal and career info.
AI processes and enhances descriptions.
Resume is generated using an HTML/CSS template.
User previews and downloads the final PDF.
π§ͺ Example Prompt for AI:
python
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prompt = f"""
Turn the following into a professional resume bullet point:
"{user_input}"
"""
response = openai.ChatCompletion.create( ... )
π Tips:
Use wkhtmltopdf for high-quality PDF exports from HTML.
Keep templates modular so they’re easy to edit.
Store previous resume data locally for quick updates.
π Optional Learning Add-on:
Learn how ATS (Applicant Tracking Systems) parse resumes.
Add a scoring system to measure resume effectiveness using AI.
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