Better UT Course Planner

EdgeCV


EdgeCV is an AI-powered platform that gives candidates an edge by optimizing their resumes for higher ATS scores or generating tailored, ATS-friendly versions from scratch. Leveraging machine learning and NLP, EdgeCV aligns resume content with job descriptions, enhancing candidate-job matching and ATS compatibility. Unlike traditional keyword tools, EdgeCV focuses on relevant skills and experience to reduce biases and deliver objective feedback. Scalable and versatile, EdgeCV can serve HR teams or be customized for organizations like Texas Luminescence, streamlining recruitment and optimizing candidate selection.

Explore Our Project

Check out our GitHub repository and coming soon will be our official website to learn more about EdgeCV:

Team Members

Full Stack Engineer: Abhinav Tiruveedhula Machine Learning Engineer: Druthi Palle Lead Full Stack Engineer: Ethan Mikel Machine Learning Engineer: Jessica Ouyang Full Stack Engineer: Noor Ali Machine Learning Engineer: Sarah Chen Machine Learning Engineer: Tymur Podkovyrov Full Stack Engineer: Wajeeh Jafry Machine Learning Engineer: Yasseen Hilal

Our Technology Stack

Python Icon

Python

Core language for data processing and ML algorithms.

AWS Icon

AWS

Cloud infrastructure for scalability and deployment.

React Icon

React.js

Framework for building the user interface.

Kaggle Icon

Kaggle

Platform for datasets and host Jupyter notebook environment for Python.

Docker Icon

Docker

Containerization platform for consistent environments.

ChatGPT API Icon

OpenAI ChatGPT

API for integrating ChatGPT functionalities.