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AI-powered DSA platform

DSA FORGEForge Your DSA Skills.
Crack Your Dream Interview.

An AI-powered platform for DSA practice, company-focused interview preparation, and university coding assessments.

Curated problems
300

Curated problems

DSA topics
21

DSA topics

Languages
4

Languages

Portals
3

Portals

two-sum.cppC++
1class Solution {
2public:
3vector<int> twoSum(vector<int>& a, int t) {
4unordered_map<int,int> seen;
5for (int i = 0; i < a.size(); ++i) {
6int need = t - a[i];
7if (seen.count(need))
8return {seen[need], i};
9seen[a[i]] = i;
10}
11return {};
12}
13};
Running test cases…
Test Case 1[2,7,11,15], 9
Test Case 2[3,2,4], 6
Test Case 3[3,3], 6

The real workspace — Monaco editor, live verdicts, per-case detail.

Three portals, one platform

Everything between your first array problem and your offer letter

Practice, prepare and get assessed without switching tools. Each portal writes to the same progress model, so what you solve on Monday shapes what the engine recommends on Friday.

Portal 01

Practice Arena

300 structured DSA problems.

One hundred Easy, one hundred Medium and one hundred Hard problems spanning arrays through advanced algorithms — each with formal I/O, worked examples, hidden tests and a full editorial.

Open Practice Arena
  • Monaco editor with C, C++, Java and Python
  • Run against samples, submit against hidden and edge cases
  • Progressive AI hints that guide instead of answering
  • Reveal Answer with approach, intuition and complexity

Portal 02

AI Interview Prep

Personalized company-focused preparation.

Pick a target company and the adaptive engine reads your submissions, accuracy, hint usage and topic mastery to build a readiness score and a concrete plan for what to solve next.

Open AI Interview Prep
  • Company-style problem sets, honestly labelled
  • Readiness score with strong and weak topic breakdown
  • AI-generated problems that pass a validation pipeline
  • Post-submission code analysis and solution explanation

Portal 03

University Assessment

Create, schedule and evaluate coding tests.

Faculty author their own problems and test cases, build a paper, assign 23 / 30 / 40 / 50 or any number of students, and let the platform mark every submission automatically.

Open University Assessment
  • Question bank with public, hidden, edge and stress cases
  • Server-authoritative timer with automatic submission
  • Partial scoring, ranking and class-wide analytics
  • Structural code similarity as a review indicator

Built like production software

The parts that usually get faked, built for real

AI Learning

An adaptive engine that reads your real performance data and sequences the next topic and difficulty for you.

Multi-language Compiler

C, C++, Java and Python compiled and executed against every test case with per-case verdicts.

Secure Evaluation

Submissions run in an isolated sandbox with CPU, memory, process, filesystem and network limits.

Performance Analytics

Accuracy, streaks, topic mastery, coding time and assessment results in one continuous picture.

Progressive Hints

Three escalating nudges per problem — reframing, then technique, then algorithm outline. Never the answer.

Live Assessments

Countdown, autosave, mark-for-review and automatic submission when the server-side timer expires.

Question Bank

Faculty-authored problems with four classes of test case, reusable across any number of assessments.

Achievements

Milestones, streaks, difficulty masters and topic specialists that track genuine progress.

About

A learning platform that refuses to hand you the answer

DSA Forge is built on one principle: AI should make you a better problem solver, not a faster copy-paster. Hints escalate gradually. Solutions stay behind an explicit confirmation and never mark a problem solved. Generated problems are compiled and run against their own reference solution before anyone sees them.

For universities, every mark is computed server-side from verified judging results — timers, test ownership and student assignment are all enforced on the server, never in the browser.

Company-honest labelling

We never claim a problem was actually asked at a company unless it is verified. Everything else is labelled company-style or AI pattern practice.

Sandboxed execution

Submitted code never touches the application process, the database, or any secret. It runs in a disposable, network-isolated container.

Swappable AI provider

The AI layer sits behind one interface. Changing vendor or model is an environment variable, not a rewrite.

Integrity indicators

Similarity analysis flags pairs worth a human look. It never labels a student as cheating.

Start forging today

Create an account, tell the engine where you are, and get a personalised path from your first array problem to your dream interview.