REPOSITORY OVERVIEWLive repository statistics
★ 3Stars
⑂ 0Forks
◯ 0Open issues
◉ 3Watchers
60/100
OPENREPOHUB HEALTH SIGNALMixed signals
A transparent discovery signal based on current public GitHub metadata.
Recent activity35% weight
72 Community adoption25% weight
7 Maintenance state20% weight
100 License clarity10% weight
100 Project information10% weight
35 This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
README preview
AI-Powered-Resume-Ranker
Developed a web-based application that ranks resumes based on job descriptions using NLP techniques. Implemented text extraction, preprocessing with SpaCy, TF-IDF vectorization, and cosine similarity for scoring. Built a Flask-based interface for uploading resumes, displaying rankings, and generating downloadable HR reports.
Project Architecture
User Uploads Resumes (PDF)
↓
Text Extraction (PDF → Text)
↓
NLP Preprocessing (SpaCy)
↓
Feature Extraction (TF-IDF)
↓
Similarity Scoring (JD vs Resume)
↓
Ranking Algorithm
↓
Flask Web UI (Display Results + Download Report)
Folder Structure
resume-ranker/
│
├── app.py
├── uploads/
├── templates/
│ ├── index.html
│ └── result.html
├── static/
├── report.csv
└── utils/
├── extractor.py
├── preprocess.py
├── ranker.py
UI
🚀 Installation & Setup
1️⃣ Clone the Repository
git clone https://github.com/your-username/AI-Powered-Resume-Ranker.git
cd AI-Powered-Resume-Ranker
2️⃣ Install Dependencies
pip install -r requirements.txt
3️⃣ Run the Application
python app.py
4️⃣ Open in Browser
http://localhost:5000
ALGORITHMICALLY RELATEDSimilar Open-Source Projects
Selected from shared topics, language and repository description—not editorial ratings.
Developed VisionSoC, an advanced image upscaling model using Enhanced Super Resolution Generative Adversarial Networks (ESRGAN) with Python, leveraging frameworks such as TensorFlow and Keras. Created a comprehensive web-based application for the model using HTML, CSS, and JavaScript, and integrated the frontend with the backend using Flask.
73/100 healthRecently updatedActive repository
PythonGPL-3.0#deep-learning#deep-learning-projects#dl-projects#gans
⑂ 4 forks◯ 1 issuesUpdated 19 days ago
An additive synthesiser that generates wavetable from an input sample by using linear regression to find weights of harmonics. Currently being developed in Python (Pyo, PyQt5, wxpython). Working to update this to a web-based sound synth! .
33/100 healthActive repository
PythonBSD-3-Clause#additive-synthesis#frequency#hacktoberfest#harmonics
⑂ 1 forks◯ 19 issuesUpdated Sep 10, 2024