πŸ› οΈ In-Browser Engineering & Student Tools Suite

Interactive CS Tools Suite

Zero install, client-side tools designed for computer science students: live multi-language compiler & web sandbox, developer utilities (JSON, Regex, Base64), university CGPA & SGPA calculators, ATS resume builder, project recommender, and external viva defense simulator.

NexusCS Multi-Language Compiler & Web Sandbox v2.0

Interactive Multi-Language Compiler & Frontend Sandbox

Language:
main.cppWandbox Cloud GCC & Local Engine
bash β€” output console (stdout / stderr)Ready
// Click "Execute on Server" or press Ctrl+Enter to compile and run...

NexusCS Multi-Language Compiler System Online (C++, Python, Java, Rust, JS, Go, C).
In-Browser Developer Tools Suite

Student Developer Utilities & Code Helpers

Zero-setup offline utilities to format JSON, test regular expressions, encode/decode Base64, and lookup Big-O complexities without leaving your browser.

Valid JSON
//
Templates:
2 Matches Found
Data Structure / AlgorithmTime (Avg)Time (Worst)Space ComplexityBest Use Case
Array / Dynamic VectorO(1) AccessO(N) SearchO(N)Direct indexing, contiguous memory cache locality
Hash Table / Hash MapO(1) LookupO(N) CollisionO(N)Fast key-value pair lookups and frequency counting
Balanced BST (AVL / Red-Black)O(log N)O(log N)O(N)Ordered data, range queries, C++ std::map
Min / Max Binary Heap (Priority Queue)O(1) Peek MinO(log N) Insert/DelO(N)Dijkstra algorithm, Top-K elements, Huffman Coding
Merge SortO(N log N)O(N log N)O(N) Aux SpaceStable sorting, linked list sorting, external sort
Quick SortO(N log N)O(NΒ²) Worst PivotO(log N) In-PlaceFastest in-memory sort with random pivot
Graph BFS / DFSO(V + E)O(V + E)O(V)Shortest path in unweighted graph (BFS), cycle check (DFS)
University Academic Tool

Semester SGPA & Cumulative CGPA Calculator

Supports AICTE, AKTU, VTU, Anna University, Mumbai University, and Autonomous 10-Point Grading Scales.

Subject NameCreditsGrade ReceivedAction

Enter your previous semester SGPAs and total credits to calculate overall CGPA:

Calculated Score
9.42/ 10.0
Outstanding (O Grade)
Percentage Equivalent:89.49%
Total Credits:22
Total Grade Points:207.2
πŸ’‘ Campus Placement Tip:

Most Tier-1 tech firms require minimum 7.0 or 7.5 CGPA with zero active backlogs to be eligible for on-campus drives.

ATS-Optimized Single Page Format

CS Student Resume Builder

Pre-structured for software engineering internships and campus placements. Select a specialized career track demo or customize your own ATS-compatible resume.

Load Demo Profiles:

1. Personal Information

2. Technical Skills

3. Featured CS Projects

4. Education & Achievements

πŸ“„ Live ATS Resume Preview (A4 Paper Layout)ATS Score: 98/100

Aarav Sharma

B.Tech Computer Science & Engineering

aarav.sharma@college.edu β€’+91 98765 43210 β€’github.com/aaravsharma β€’linkedin.com/in/aarav-sharma
leetcode.com/u/aarav_codes (450+ Solved, Guardian 2180)

EDUCATION

National Institute of Technology (NIT) β€” B.Tech CSECGPA: 8.92 / 10.0

TECHNICAL SKILLS

  • Languages: C++, Java, Python, JavaScript, TypeScript, SQL
  • Frameworks: React.js, Next.js, Node.js, Express.js, TailwindCSS, PyTorch
  • Tools & Cloud: Git, GitHub, Docker, Postman, Linux, Vercel, MongoDB, PostgreSQL
  • Core CS: Data Structures & Algorithms, DBMS, Operating Systems, Computer Networks, OOPs

FEATURED PROJECTS

CodeSync: Real-Time Collaborative Cloud IDE | WebSockets, Yjs, Docker, React

Constructed a multi-cursor collaborative code editor utilizing CRDTs (Yjs) and sandboxed Docker containers for secure multi-language execution under 50ms latency.

MedVision: AI Multi-Modal Pathology Detection | PyTorch, FastAPI, React

Engineered a deep learning diagnostic pipeline achieving 94.2% ROC-AUC on 10,000+ X-ray scans with Grad-CAM visual heatmaps, reducing clinician triage time by 40%.

ACHIEVEMENTS & HONORS

β€’ 1st Place Winner at Smart India Hackathon 2024 (Out of 500+ teams) | β€’ Global Rank 842 on LeetCode Weekly Contest

AI Project Advisor

Project Complexity & Idea Recommender

Select your semester, team size, preferred domain, and time deadline to get the ideal project roadmap, viva difficulty risk, and tech stack.

Recommended Major Project

MedVision: AI Multi-Modal Pathology Detection

Deep learning clinical assistant diagnosing diseases from radiology scans with Grad-CAM visual heatmaps.

Complexity Score:8.5 / 10
Viva Voce Risk:Low (High Explainability)
Suggested Stack:PyTorch + FastAPI + React
Estimated Dev Time:6-8 Weeks

Key Viva Examiner Defense Focus:

Examiners will ask to explain Transfer Learning, why EfficientNet was selected over ResNet, and how Grad-CAM computes activation gradients across layers.

View Full Source Code & Viva Kit β†’
Interactive External Defense Simulator

College Viva Voce Defense Practice Test

Simulate an external university examiner grill session on DBMS, Operating Systems, Computer Networks, and Full-Stack Web. Test your speed and technical depth.

Question:1 / 8
Subject Domain:Database Management (DBMS)
Timer:00:45
πŸ‘¨β€πŸ«
External Examiner asks:

"What is the exact technical difference between 3NF and BCNF? Can you give an example of a table in 3NF that violates BCNF?"

ESC