Coding Interview Assistant

InterviewCC handles common algorithm topics: arrays, strings, linked lists, trees, graphs, dynamic programming, greedy algorithms, sorting, searching, and more. It recognizes problems from platforms like LeetCode, HackerRank, and custom questions.

InterviewCC provides structured solution approaches and pseudocode outlines, not copy-paste code. This helps you understand the logic and write your own implementation, which is what interviewers evaluate.

Recognition accuracy depends on screenshot clarity. Clear, well-formatted problem statements achieve high accuracy. Handwritten or blurry content may require manual input.

Yes. When interviewers ask for optimization, you can screenshot the follow-up context. The AI considers the original solution and suggests improved approaches with updated complexity analysis.

Solution approaches are language-agnostic, focusing on algorithms and data structures. Pseudocode hints can be adapted to any language you choose during the interview.

Yes. After the interview, you can review each coding question with detailed analysis: the approach you discussed, alternative solutions, complexity comparisons, and topics to study further.