People dont have knowledge on what type of question asked in examination and interview

describe what can people use it for, or how it makes existing tasks easier/safer e.t.c (markdown supported)

The problem it solves

We suffer from challenges like.where to find out question and upload in qui type so that applicant can intract with thwm easily

tell us about any specific bug or hurdle you ran into while building this project. how did you get over it? (markdown supported)

Challenges we ran into

HACKOWASP 7.0

Html,css,chatgpt,python

Interview cracker

What Inspired Us Preparing for technical interviews can be overwhelming for many CSE students, especially without proper guidance or access to real mock interview environments. We wanted to create a smart, accessible tool that simulates real interview experiences and provides personalized feedback to help students improve their confidence and communication skills — all powered by AI.

💡 What We Learned How to use Flask to build a web-based application Basics of Natural Language Processing (NLP) to analyze interview answers How to integrate AI for generating questions and evaluating responses Understanding user experience from a student’s perspective The value of combining technical skills with real-world problems

🛠️ How We Built It Used Python Flask as the backend framework Created a chat-style interface using HTML, CSS, and Jinja templates Added a question bank based on job roles like Frontend, Backend, and Data Science Implemented text-based response collection and feedback syste

Interview cracker

It help people to practice question on interview and make them more practical oriented

Interview cracker

It help people to practice question on interview and make them more practical oriented

The problem Interview cracker solves

Challenges I ran into

Open Innovation

Discussion

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