A comprehensive collection of DSA interview practice problems, specifically curated for AI/ML engineers and data scientists.

Build Python skills through real data problems similar to what ML engineers and data scientists face in production systems. Each exercise simulates a practical engineering scenario, not a toy coding task.

AI/ML interview practice flashcards with spaced repetition

Community-driven AI infrastructure interview prep — practice CUDA kernels, ML systems, Kubernetes for GPU workloads, and systems design through real coding problems judged on actual hardware.

🚀 Free placement prep platform for Indian freshers — TCS NQT mock tests (Verbal, Reasoning, Numerical, Programming) + AI/ML interview quizzes with timed practice, instant explanations & performance analytics. Built with React + Vite.

IntervIQ is an AI-powered interview coaching platform designed to help professionals master their job interviews. It provides personalized feedback, industry-specific practice questions, and real-world scenario simulations through video, audio, or text modes. Built with Django and advanced ML models.

AI-powered interview practice platform using ML

Daily AI/ML interview preparation with hands-on practice and projects

AI-powered interview coach using GPT-4o API. Practice ML/DS interviews with intelligent feedback and performance tracking.

Django-based AI Interview Practice Bot for AI/ML, Data Science, Python and Behavioural interview questions with real-time scoring and feedback.

AI-powered mock interview practice app for AI/ML, Frontend, and Software internship roles with instant answer evaluation and feedback.

Curated resources for Machine Learning and AI Engineer interview preparation. Includes ML interview questions, coding platforms, SQL practice, and system design resources.

Python practice exercises and interview-focused coding tasks, with examples aligned to AI/ML and Automotive testing projects.

🚀 Build your AI/ML interview skills with NeuroForge LMS, a secure platform offering coding practice and personalized mock interviews for tech job seekers.

Structured LeetCode-style practice for Computer Vision and AI Engineering interviews, focusing on ML-relevant algorithms, computer vision geometry, PyTorch implementations, and ML systems.

A comprehensive, open-source toolkit for ML/AI/Data Science interview preparation — knowledge base, interactive mind map, coding practice, interview tracking system, and career frameworks.

This is my daily Python practice repository to prepare for AI/ML interviews. It includes coding challenges focused on data manipulation, algorithms, and ML tasks.

Python practice repository covering core concepts, problem-solving, and interview questions. Focused on building strong foundations for AI/ML engineering.

🥷 Voice-first AI interview simulator built at Cursor Hackathon. Practice system design, coding, and ML theory with a GPT-4 interviewer that listens and speaks back.

A professional interview practice platform with AI/ML powered feedback. Chat with audio & video models live with deeply customized agentic system combined with ML system for nuanced feedback.

AI Interview Assistant: A modern web platform for AI-powered mock interviews with text and audio capabilities. Features real-time feedback, sentiment analysis, and performance analytics to improve interviewing skills. Built with Python/Flask, JavaScript, and ML for an interactive practice experience.

InterviewPractice is a SwiftUI iOS app that helps users practice role-based interview questions for tech roles like Frontend, Backend, ML, AI, and Product Management using a structured, interactive interview flow.

The Mock Interview System is designed to provide a virtual platform for job seekers to practice and improve their interview skills using artificial intelligence (AI), machine learning (ML), and image processing technologies.

🎯 InterviewAce - AI-powered mobile app that helps students ace job interviews through intelligent practice sessions, real-time speech analysis, and personalized feedback. Built with Flutter, Python, and AI/ML.

MOCK AI is an AI-powered mock interview system designed to help users practice interview questions and receive automated feedback using AI/ML techniques. The system leverages Flask for the backend, MySQL for database management, and a fine-tuned SBERT (Sentence-BERT) model for analyzing user responses.

A complete interview preparation platform offering coding practice in multiple languages, MCQs on core CS subjects (DSA, OS, DBMS, CN, ML, AI, etc.), mock interviews, resume analyzer for ATS check, and personalized questions based on your resume.

AI Interview Bot is a smart chatbot designed to simulate real interview scenarios. It handles user queries, evaluates answers, provides instant feedback, and helps users practice effectively. Built with Python, NLP, and ML techniques, it’s perfect for learning, skill assessment, and interview preparation.

AI Interview Coach for Pakistani tech interviews — Practice questions for ML Engineer, NLP/GenAI, Data Analyst, Python Developer & HR roles at top companies like 10Pearls, Arbisoft, Systems Ltd & Netsol. Get instant AI feedback with scores, strengths, improvements & ideal answers. Powered by Groq LLaMA 3.3 70B + Streamlit.

This repository contains my complete Matplotlib practice journey — from basic plots to advanced visualization techniques. I created this to strengthen my data visualization skills for Data Science, AI/ML, and Python interviews.

A Streamlit-based AI Interview Assistant that helps users practice technical interviews. It uses LLM-powered evaluation, role-specific question banks, and a modular Python backend. The project includes Docker support, test automation, and a scalable architecture suitable for ML-based applications.