Career bot

Overview

The application stems from the idea of simplifying the application process for participants in an educational company. After uploading a CV or similar or the selection of a LinkedIn profile, an AI reads out professions and skills. This can be used to initiate a job search. Once a job has been selected, an application is generated for it and relevant courses are suggested to close knowledge gaps for the job offer.

The app itself consists of a backend, a frontend and a PostgreSQL database. Everything runs in Docker containers. The frontend uses the usual web technologies (HTML, CSS, Javascript), the backend runs with Python and FastApi. The app also runs on mobile devices, as a responsive web app, but can also be exported as a native Android or IOS app via the Cordova framework. Any many languages are supported.

Procedure

The order is predefined using a timeline. After uploading the content, the selected jobs can be edited. Or if you want to apply for a completely new job, you can add it. After the job search with various options and a selected job, an application is generated for it, here you can still set certain expression variants, formal or committed for example. This can then be downloaded in PDF or Word format and adapted if necessary. If deficits are still recognizable for this job, these could be closed by further training. You can also specify the area from which these deficits are to be recognized. Suitable course offers will then be displayed.

At the end, you can completely delete all personal data used by the program. After the initial upload, a chatbot is permanently available to answer questions and provide information on the personal data. This can be used with voice or text, but microphone permission must be given for voice access when the page is called up.

Examination and tests

Certain enhancements and optimizations are planned after the tests: Extension of the job search to several providers, implementation of an up-to-date course database. Improvement of the prompting to avoid certain phrases when generating the CV. And optimization of voice output and input through newer technologies.