Job Seeker

Learn how a personal project to find a job evolved into a service, presented on the mainstage.

Overview

I build a software to help to find a job

Links

https://github.com/St4r4x/diggo
Diggo is a Dockerized French AI/ML job pipeline utilizing Supabase, scraping scripts, and LLMs to automate job aggregation, scoring, and PDF application generation.

Tech stack

Hugging Face

Hugging Face is the central, open-source platform and community for building AI applications, hosting over 300,000 models and datasets via the popular Transformers library.

Hugging Face functions as the 'GitHub for machine learning,' providing a massive, collaborative Hub for AI assets (models, datasets, and demos). Its core technology is the open-source **Transformers** Python library, which simplifies the use of state-of-the-art models (e.g., BERT, GPT) for various tasks: natural language processing, computer vision, and audio. The platform hosts over 300,000 models and thousands of datasets, streamlining the entire ML workflow from research to deployment via **Spaces** (interactive demos). This ecosystem makes advanced AI accessible, efficient, and reproducible for developers and enterprises globally.

https://huggingface.co

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Docker

Docker is the open-source platform that packages applications and dependencies into standardized, portable containers for consistent execution across any environment.

Docker is the industry-standard containerization platform, enabling developers to build, ship, and run applications efficiently. It uses the Docker Engine (the core runtime) to create lightweight, isolated environments called containers: these units bundle an application’s code, libraries, and configuration. This self-contained approach guarantees consistency, eliminating the 'it works on my machine' problem across development, testing, and production environments (local workstations, cloud, or on-premises). Docker debuted in 2013 and now serves over 20 million developers monthly, simplifying complex workflows like CI/CD and microservices architecture by leveraging tools like Docker Hub for image sharing and Docker Compose for multi-container applications.

https://www.docker.com

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FastAPI

FastAPI is a modern, high-performance Python web framework for building APIs with automatic OpenAPI documentation.

FastAPI is a robust, high-speed Python web framework: it is built on Starlette (for async capabilities) and Pydantic (for data validation and serialization). Leveraging standard Python 3.8+ type hints, the framework automatically generates interactive API documentation (Swagger UI/ReDoc) and enforces data validation, effectively reducing developer-induced errors by an estimated 40%. This architecture delivers performance on par with Node.js and Go, significantly increasing feature development speed (up to 300% faster). It is production-ready, fully supporting OpenAPI and JSON Schema standards for all API specifications.

https://fastapi.tiangolo.com

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Job Seeker

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