Getting rejected and getting no answers before a human ever sees your resume is a frustrating experience for job seekers nowadays. As our college graduation gets closer, we, and our friends, have been on the job-hunt for a couple of months. We have experienced and seen first-hand that no amount of job applications will guarantee a job if your resume is not well formatted and worded to pass automatic filters.
We wanted to build a tool that makes the hidden rules of Applicant Tracking Systems (ATS) more visible and accessible.
Applying for jobs is already stressful - but getting past the Applicant Tracking Systems many companies use can be an invisible obstacle. These systems often filter out resumes that don't match enough keywords from the job description, meaning many qualified candidates with big potential are never seen and judged by a human.
Resume Keyword Optimizer was built to tackle this problem. This web-based tool helps job seekers improve their chances of getting interviews by:
- Identifying missing keywords in their resumes based on a specific job description.
- Giving actionable feedback to help tailor applications for each job.
- Making ATS optimization more transparent, accessible, and less time-consuming.
Whether you're applying for your first internship or switching careers, this tool is designed to be simple, fast, and genuinely useful.
- 📃 Paste or Upload your resume and a job description (
.txt,.docx,.pdf) - 🕵️♂️ Smart Keyword Analysis: Extracts and compares key terms automatically.
- 🔎 Top 10 Missing Keywords are displayed based on frequency.
- ⚠ Critical Keywords Highlighted if a term appears more than 5 times in the job description.
- 🌟 Clean, professional front-end for easy interaction.
Using Resume Keyword Optimizer is quick and easy - no installation required.
- Launch the Flask App using the link below in the Live Demo Section
- Paste your job description
- Paste your job description and resume into the text boxes or upload .txt, .docx, or .pdf files.
- Click "Analyze".
- Instantly view:
- A list of missing important keywords
- Critical keywords labeled clearly to prioritize them.
- Go through the list and edit your resume accordingly.
Homepage
Results Page
Throughout the development process, we improved and expanded the project to meet real-world user needs:
- Added file upload support for
.txt,.docx, and.pdf - Introduced critical keyword highlighting to prioritize essential words.
- Refined front-end styling for a clean and user-friendly interface
- Improved NLP Processing with a custom stopword list to focus on important terms.
We learned the importance of iteration, user perspective, and making technical tools accessible through a simple user interface.
You can try out the Resume Keyword Optimizer using the live hosted version here:
🔗 Launch the Resume Keyword Optimizer
No installation needed - simply upload your resume and job description, and get instant results!
- Python 3
- Flask
- Natural Language Toolkit (NLTK)
- python-docx (for reading Word files)
- PyMuPDF (for reading PDF files)
- HTML/CSS for front-end
Throughout the development of this project, we used OpenAI's ChatGPT as a resource to enhance and guide our work.
Specifically, ChatGPT helped with:
- Debugging Flask application issues, such as handling file uploads and routing between pages.
- Expanding functionality beyond the original plan including support for how to download the requirements to allow users to upload
.txt.docxand.pdffiles. - Improving NLP steps, like cleaning and tokenizing text and coming up with a fuller list of custom stopwords that are commonly repeated in job descriptions.
- Suggesting changes and edits in our html pages, such as addding
divand usingclassattributes to be able to easily style our pages. - Troubleshooting deployment issues on Render, including resolving problems with port binding and configuring the app to run successfully on a live server.
Overall, ChatGPT was useful as a development tutor in helping troubleshoot problems, explore different technical solutions, brainstorm improvements, and enhance the overall quality of the final deliverable.
Paulina Vasconez & Carolina Martinez