LEAP 2024 Hackathon 

Registration opens

Opening remarks by NewNative, discussing Lablab's mission and vision

NewNative - Brief Introduction to the Hackathon, Challenge, lablab.ai platform, and Discord server.

NewNative. Participants are encouraged to begin working on their projects.

Official Hackathon Kick-off - NewNative

It is a perfect time to connect with potential team members and energize with coffee.

1st Matchmaking Coffee session begins

Emmanuel Iriarte - Building your AI application in rapid prototyping

Workshop

2nd Matchmaking Coffee session begin

Participants resume working on their projects.

Harry Berg

How to launch your career in Ai & Data at supersonic speed.


How to Architect and deliver production-grade, high-speed computation and artificial intelligence software for real-time analytics

Workshop - Anton Alexander

Hacking Commences.

AI personalization in social media and marketing

Ash Barbour 

Workshop -  Jens Ingelsted - How to Pitch 

Hacking Commences

Lossless Data Compression based on new math theory & algorithm

Workshop - Claus Rosenberg Gotthard 

How AI is changing the way we build and operate software


Pawel Czech

End of submissions. Judging commences, and finalists are selected.

End of Closing Ceremony

Winner announcements at the main stage

Decode: Python, Django, React experts crafting innovative AI solutions through generative algorithms

Decode

devnamdevcse

codersdev

The "AI Interview Assistant" addresses the challenges faced by companies and users in the hiring process. Traditional interview methods often lack efficiency and objectivity, leading to lengthy processes and biased decisions. Candidates struggle to effectively communicate their skills, while recruiters face difficulties in assessing candidates fairly. This application streamlines the interview process by leveraging AI technology. It provides personalized interview questions tailored to each candidate's profile, interactive AI assistance during interviews, and comprehensive evaluations. This ensures a more efficient and fair interview experience for both parties. Candidates gain confidence and refine their skills, while recruiters save time and make better-informed hiring decisions. Overall, the "AI Interview Assistant" simplifies the interview process and improves outcomes for all involved.
Features:
Job Role Selection: Users can select the desired job role for which they are preparing for an interview.
Experience Level: Users can specify their level of experience for the chosen job role.
Interview Type: Users can indicate the type of interview they are preparing for (e.g., technical, behavioral, situational).
Question Generation: Based on the selected job role, experience level, and interview type, InterviewMate generates relevant interview questions to help users prepare.
Voice and Video Recording: Interview sessions are recorded in both audio and video formats. Users can review their responses and performance during the interview.
Speech-to-Text Transcription: The spoken responses of users are transcribed into text and displayed on the screen in real-time.
Analysis Mode: After stopping the recording, users can analyze their performance by reviewing the transcribed text and recorded video.
Finish Interview: Once the interview is complete, users can mark it as finished, prompting InterviewMate to generate a comprehensive report of the entire interview session.

AI-powered interview assistant designed to streamline the interview process for both candidates and interviewers. With its intelligent features, InterviewMate aims to assist users in preparing for, conducting, and analyzing interviews effectively.

"Decode team on LEAP 2024 Hackathon Hackathon"

Team Idea

Submission