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In the era of AI, I embarked on a journey to create an interview bot that leverages the power of OpenAI’s GPT-3.5 model. The goal was to design a system that could generate dynamic interview questions based on a user’s resume, job dehttps://websites.godaddy.com/interviewbotscription, company name, and interview type. The finished app is hosted on streamlit at: https://interview-bot-verbal-nonverbal-eam3i9niz8jcqnqjnwrubg.streamlit.app/. Here’s how I did it.

Designed a series of posters for a music festival featuring a unique illustration style and bold typography. The posters were used for both print and digital promotion.

The Llama Index was used for indexing over custom data. This powerful tool allows for efficient searching and retrieval of information from the custom data, enhancing the bot’s ability to generate relevant questions.

Streamlit, a fast and easy way to create apps, was used for constructing the interface of the bot. The interface asks the user to upload their resume, job description of the interview, the company name, and the type of interview (Technical, Behavioural, etc.). It also provides an option to practice for “verbal” interviews or non-verbal/technical ones.

The bot builds a custom context based on the user’s resume, the job description and other details filled at the homepage of the app. This context is then fed into the GPT-3.5 model to generate the interview questions. The context is built using the PdfReader from the PyPDF2 library to extract text from the user’s resume and the text from other inputs are combined. This is done to ensure agility of question generation and answer evaluation.

To make the bot more interactive and user-friendly, I incorporated a feature to convert the generated questions into audio. This is done particularly for the verbal module, where the user can listen to the audio and record their voice response. This was achieved using the Google Text-to-Speech (gTTS) library, which converts the text into speech audio.

The bot checks the validity of the OpenAI API key before retrieving the GPT-3.5 model. This is an essential step to ensure that the bot can successfully connect to the model and generate the interview questions.