1. A method comprising: converting, by a processing device, audio data of a candidate in a digital interview into voice-to-text data; generating, by an audio cue generator executing on the processing device, audio cues of the digital interview based on the voice-to-text data; applying the audio cues to a prediction model to predict an achievement index for the candidate based on the audio cues; and displaying the candidate in a list of candidates based on the achievement index, wherein the list of candidates is sorted according to the candidates' achievement index.
1. A method comprising: converting, by a processing device, audio data of a candidate in a digital interview into voice-to-text data; generating, by an audio cue generator executing on the processing device, audio cues of the digital interview based on the voice-to-text data; applying the audio cues to a prediction model to predict an achievement index for the candidate based on the audio cues; and displaying the candidate in a list of candidates based on the achievement index, wherein the list of candidates is sorted according to the candidates' achievement index. 6. The method of claim 1 , wherein generating the audio cues comprises calculating a sentiment score of the voice-to-text data, wherein the sentiment score represents a mood of the voice-to-text data based on weights given to each word or groups of words.