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Build a script to optimize your CV layout
To optimize your CV layout, the goal is to make it clean, professional, and easy for recruiters to scan quickly. Here’s a simple Python script that uses the docx library to build a basic CV template and allows you to input data. You can customize sections as needed for different job applications. Steps: Install the…
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Build a script to reformat meeting transcripts
Here’s a Python script that can reformat meeting transcripts by: Adding speaker labels clearly Adding timestamps if present Cleaning up spacing and line breaks Organizing the text for easier reading This script assumes the input transcript is a plain text file, where speaker names and their dialogue are somewhat identifiable. You can customize patterns based…
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Build a script to summarize long articles
Here’s a simple Python script using the transformers library from Hugging Face to summarize long articles: Requirements: Install the necessary libraries: bashCopyEditpip install transformers pip install torch Script for summarizing an article: pythonCopyEditfrom transformers import pipeline # Load the pre-trained summarizer model from Hugging Face summarizer = pipeline(“summarization”) def summarize_article(article_text, max_length=150): “”” Summarizes the article…
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Build a resume skill word cloud
To build a resume skill word cloud, you can use tools like WordCloud in Python or online generators. Here’s a Python code snippet using your own skill list to generate the word cloud: 🛠️ Python Code Example (Using WordCloud Library) pythonCopyEditfrom wordcloud import WordCloud import matplotlib.pyplot as plt # Replace this with your own skills…
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Build a resource recommendation engine
To build a resource recommendation engine, follow these steps, focusing on either a content-based, collaborative, or hybrid approach, depending on your goals and data availability. Below is a structured plan along with code examples in Python using pandas, scikit-learn, and optionally TensorFlow for deep models. Step 1: Define the Use Case Examples: Recommending educational resources…
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Build a resume analyzer for ATS optimization
Building an ATS (Applicant Tracking System) optimized resume analyzer involves several components, from parsing the resume to providing feedback based on ATS-specific requirements. Here’s a simplified approach to building such an analyzer: Steps to Build an ATS Resume Analyzer 1. Input Parsing: File Upload/Parsing: Allow users to upload resumes in common formats (e.g., DOCX, PDF,…
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Build a resume analyzer using keyword matching
Here’s a Python-based implementation of a Resume Analyzer using keyword matching. This tool reads resumes (in .txt format or extracted text from PDF), matches them against a set of predefined keywords (based on job descriptions or required skills), and scores them based on relevance. pythonCopyEditimport os import re from typing import List, Dict class ResumeAnalyzer:…
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Build a resume sentiment analyzer
To build a sentiment analyzer for resumes, we can break it down into a few logical steps. Here’s a simplified approach to creating a resume sentiment analyzer using Python and natural language processing (NLP) techniques. 1. Set Up Your Environment First, you’ll need to install some Python libraries. These will help with text processing and…
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Build a quote-of-the-day SMS bot
Creating a simple quote-of-the-day SMS bot involves several steps. Here’s a breakdown of how to build one: 1. Choose the Technology Stack Backend: Python (with Flask/Django), Node.js, or any other backend framework. SMS API: Twilio, Nexmo, or other SMS service providers. Database: SQLite, MySQL, or any cloud database to store quotes. Scheduler: Cron jobs, Celery,…
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Build a random playlist generator
Here’s a complete Python script for a random playlist generator that you can run locally or adapt for a web app. It takes a list of songs and outputs a randomly shuffled playlist each time you run it. pythonCopyEditimport random def generate_random_playlist(songs, playlist_length=None): “”” Generate a random playlist from the given list of songs. :param…