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.
Interactive Multi-Language Compiler & Frontend Sandbox
NexusCS Multi-Language Compiler System Online (C++, Python, Java, Rust, JS, Go, C).
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.
| Data Structure / Algorithm | Time (Avg) | Time (Worst) | Space Complexity | Best Use Case |
|---|---|---|---|---|
| Array / Dynamic Vector | O(1) Access | O(N) Search | O(N) | Direct indexing, contiguous memory cache locality |
| Hash Table / Hash Map | O(1) Lookup | O(N) Collision | O(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 Min | O(log N) Insert/Del | O(N) | Dijkstra algorithm, Top-K elements, Huffman Coding |
| Merge Sort | O(N log N) | O(N log N) | O(N) Aux Space | Stable sorting, linked list sorting, external sort |
| Quick Sort | O(N log N) | O(NΒ²) Worst Pivot | O(log N) In-Place | Fastest in-memory sort with random pivot |
| Graph BFS / DFS | O(V + E) | O(V + E) | O(V) | Shortest path in unweighted graph (BFS), cycle check (DFS) |
Semester SGPA & Cumulative CGPA Calculator
Supports AICTE, AKTU, VTU, Anna University, Mumbai University, and Autonomous 10-Point Grading Scales.
Enter your previous semester SGPAs and total credits to calculate overall CGPA:
Most Tier-1 tech firms require minimum 7.0 or 7.5 CGPA with zero active backlogs to be eligible for on-campus drives.
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.
1. Personal Information
2. Technical Skills
3. Featured CS Projects
4. Education & Achievements
Aarav Sharma
B.Tech Computer Science & Engineering
EDUCATION
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
Constructed a multi-cursor collaborative code editor utilizing CRDTs (Yjs) and sandboxed Docker containers for secure multi-language execution under 50ms latency.
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
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.
MedVision: AI Multi-Modal Pathology Detection
Deep learning clinical assistant diagnosing diseases from radiology scans with Grad-CAM visual heatmaps.
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.
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.