Скачать или смотреть Document-Based Job Recommender System | End-to-end | Selenium, Cassandra, Chroma, FastAPI, Docker

In this video, we walk through the code and demo the setup for an End-to-end Document-Based Job Recommender System, from scraping the jobs to storing them on database, vectorizing the job details and storing on Chroma vector DB to serving the app with FastAPI and Streamlit.

The project utilizes Selenium, Cassandra, Chroma, FastAPI and Streamlit. The project is fully containerized with Docker for easy deployment.

▶ Code Repo → https://github.com/theabrahamaudu/Mul...

Like, Share & Subscribe!

---------------------------------------------
Timestamps:
00:00 Intro
00:41 Project Architecture
01:57 Job Scrapers
03:34 Databases
05:49 CRUD Endpoints
07:28 Recommendation Logic
09:25 Vector Embedding Model
10:31 Server and Job Scraping Pipeline
12:00 Frontend and Password Protection
14:15 Docker Setup
15:10 Demo
18:40 Outro

---------------------------------------------
Connect with me:
▶ GitHub → https://github.com/theabrahamaudu
▶ X (formerly Twitter) →   / the_abrahamaudu  
▶ LinkedIn →   / theabrahamaudu  
▶ Instagram →   / the_abrahamaudu