Problems are categorized by difficulty — not randomly mixed. Students progress through a structured path, building confidence at each level before moving to the next. Each level maps to a stage in placement preparation.
170 problems
Programming basics: syntax, loops, conditionals, simple array operations, string manipulation, and basic math. Where every student starts — building the habit of writing complete programs from scratch to master fundamental logic
181 problems
The thinking level. Students move from "can I write code?" to "can I solve problems efficiently?" Data structures, recursion, and optimization — the bridge between classroom coding and real interview challenges.
163 problems
Product-company interview difficulty. Graph algorithms, tries, advanced DP, complex data structures, and optimization problems. For students targeting Google, Amazon, Microsoft, Flipkart, and similar companies.
165 problems
Real coding challenges modeled on questions asked by TCS, Infosys, Wipro, Cognizant, Accenture, and other campus recruiters. Timed practice that simulates actual placement coding rounds — difficulty, format, and constraints included.
Every problem follows the same workflow — exactly like a real placement coding test. No fill-in-the-blanks. No multiple choice. Just you, a problem statement, and an empty editor.
Each problem has a clear statement with input format, output format, constraints, and sample test cases. You understand what to solve before you write a single line.
Choose C, C++, Java, or Python. Write your complete solution in a full-featured code editor with syntax highlighting. No templates, no scaffolding — you write the entire program from scratch.
Hit "Run" as many times as you need — unlimited compilations. Create your own custom test cases to check edge scenarios. Debug, iterate, and refine until your logic is right.
When you're confident, submit. Your code runs against automated test cases — including hidden edge cases you can't see. Pass all of them to complete the problem. Stuck? The AI assistant guides you.
Problems aren't just organized by difficulty — they're also tagged by topic. Students can practice by level, by topic, or both. Here's what the question bank covers:
for, while, nested loops, patterns
1D, 2D, rotation, subarray problems
Manipulation, palindromes, anagrams
Primes, GCD, modular arithmetic
Bubble, merge, quick, binary search
Base cases, tree recursion, memoization
Singly, doubly, cycle detection, reversal
Balancing, next greater, BFS applications
BST, traversals, height, LCA
BFS, DFS, shortest path, cycle detection
Frequency maps, two-sum patterns
Knapsack, LCS, LIS, grid paths
Activity selection, interval scheduling
XOR tricks, power of 2, counting bits
N-Queens, permutations, subsets
Sorted arrays, container problems
Max sum subarray, substring problems
TCS, Infosys, Wipro, product co. style
The platform doesn't just check if your code is right — it tracks HOW you're improving. Students see their growth. Faculty see class-level trends. TPOs see placement readiness.
Problems solved vs. total available, broken down by level and topic. See exactly where you stand.
What percentage of your submissions pass on the first attempt? Tracks improvement over time.
How long you take vs. the benchmark — broken down by easy, medium, and hard problems. Speed matters in placement tests.
Fewer attempts = stronger logic. Track your average attempts and watch it drop as you improve.
Earn progression badges as you clear level thresholds — visible on your practice profile.
Syntax highlighting, auto-indentation, and line numbers. Choose your language from a dropdown — your preference is remembered across sessions.
Run your code as many times as you want. No daily limits, no credit system. Practice means iteration — we don't penalize it.
Create your own inputs to test edge scenarios before submitting. Stress-test your solution the way interviewers would.
Stuck? The AI guides your thinking — explaining the concept, not writing the code. Socratic hints that build understanding, not dependency.
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