AI Resume Builder in Python – Full Project with Source Code

AI Resume Builder in Python Full Project with Source

Looking for a final year project that stands out? This AI Resume Builder in Python is one of the most trending projects for BCA, BTE, MCA, and CS students in 2025. It uses Natural Language Processing (NLP) to automatically generate professional resumes from user input no manual formatting required!

In this post, you’ll get the full source code, project explanation, features list, and step-by-step setup guide.

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Project Overview

• Project Name: AI Resume Builder
• Technology: Python, Flask, NLP (spaCy), HTML/CSS
• Difficulty: Intermediate
• Best For: BCA, MCA, B.Tech (CS/IT) Final Year Students
• Database: SQLite / MySQL

Key Features

• User fills a simple form (name, skills, experience, education)
• AI extracts and formats data using NLP
• Generates a professional PDF resume automatically
• Multiple resume templates to choose from
• Download resume as PDF with one click
• Admin panel to manage users and resumes

Technologies Used

Project Folder Structure

ai-resume-builder/

 app.py                  # Main Flask app
 nlp_processor.py        # NLP logic using spaCy
 pdf_generator.py        # PDF resume creation
 templates/
    index.html          # Home page form
    resume.html         # Resume preview
    admin.html          # Admin dashboard
 static/
    style.css
 database.db
 requirements.txt

Source Code

1. app.py Main Flask Application

from flask import Flask, render_template, request, send_file
from nlp_processor import extract_info
from pdf_generator import generate_pdf
import sqlite3

app = Flask(__name__)

@app.route('/')
def index():
    return render_template('index.html')

@app.route('/generate', methods=['POST'])
def generate():
    user_data = {
        'name': request.form['name'],
        'email': request.form['email'],
        'phone': request.form['phone'],
        'skills': request.form['skills'],
        'experience': request.form['experience'],
        'education': request.form['education'],
        'summary': request.form['summary']
    }
    processed = extract_info(user_data)
    pdf_path = generate_pdf(processed)
    return send_file(pdf_path, as_attachment=True)

if __name__ == '__main__':
    app.run(debug=True)

2. nlp_processor.py NLP Logic

import spacy

nlp = spacy.load("en_core_web_sm")

def extract_info(data):
    skills_doc = nlp(data['skills'])
    skills_list = [token.text for token in skills_doc if not token.is_stop]
    summary_doc = nlp(data['summary'])
    sentences = [sent.text for sent in summary_doc.sents]
    data['skills_list'] = skills_list
    data['summary_clean'] = ' '.join(sentences[:3])
    return data

3. pdf_generator.py PDF Resume Generation

from fpdf import FPDF
import os

def generate_pdf(data):
    pdf = FPDF()
    pdf.add_page()
    pdf.set_font("Arial", 'B', 20)
    pdf.cell(200, 10, data['name'], ln=True, align='C')
    pdf.set_font("Arial", size=11)
    pdf.cell(200, 8, f"Email: {data['email']}  |  Phone: {data['phone']}", ln=True, align='C')
    pdf.ln(5)
    pdf.set_font("Arial", 'B', 13)
    pdf.cell(200, 8, "Professional Summary", ln=True)
    pdf.set_font("Arial", size=11)
    pdf.multi_cell(200, 7, data['summary_clean'])
    pdf.ln(3)
    pdf.set_font("Arial", 'B', 13)
    pdf.cell(200, 8, "Skills", ln=True)
    pdf.set_font("Arial", size=11)
    pdf.multi_cell(200, 7, ", ".join(data['skills_list']))
    pdf.ln(3)
    pdf.set_font("Arial", 'B', 13)
    pdf.cell(200, 8, "Education", ln=True)
    pdf.set_font("Arial", size=11)
    pdf.multi_cell(200, 7, data['education'])
    path = f"resumes/{data['name'].replace(' ','_')}_resume.pdf"
    os.makedirs("resumes", exist_ok=True)
    pdf.output(path)
    return path

How to Run This Project

1. Install dependencies: pip install flask spacy fpdf python -m spacy download en_core_web_sm
2. Run the app: python app.py
3. Open browser
4. Fill the form Click “Generate Resume” PDF downloads

Why This is a Great Final Year Project

• Uses real AI/NLP concepts (industry-relevant in 2025)
• Practical use case everyone needs a resume!
• Easy to extend with Job Matching or ATS scoring features
• Impressive for viva/presentation

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Download Full Source Code

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