A high-performance interactive simulation visualizing the efficiency of the QuadTree data structure in spatial partitioning and collision detection, built with Next.js and HTML5 Canvas.
Source Code · Research Paper · Video Demo · Live Demo
Authors · Overview · Features · Structure · Results · Quick Start · Academic Record · Milestones · References · Usage Guidelines · License · About · Acknowledgments
Terna Engineering College | Computer Engineering | Batch of 2022
 Amey Thakur  |
 Hasan Rizvi  |
 Mega Satish  |
|---|
Project Guide: Prof. Randeep Kaur Kahlon (Area of Specialization)
Important
Special thanks to Hasan Rizvi, Mega Satish and Prof. Randeep Kaur Kahlon for their meaningful contributions, guidance, and support that helped shape this work.
QuadTree Visualizer is a comprehensive tool designed to demonstrate the efficacy of QuadTrees in optimizing spatial querying and collision detection. Unlike naive O(N²) collision checks, this system implements an efficient hierarchical data structure, visualizing insert, retrieve, and clear operations in real-time.
The application allows users to spawn varying numbers of particles, apply physics forces, and observe how the QuadTree dynamically partitions the 2D space to reduce computational complexity.
Note
Research Impact & Certification
This project was published as a research paper in the International Journal of Engineering Research & Technology (IJERT) (Volume 11, Issue 04) and is also available as a preprint on viXra. The project received an official Publication Certificate for its research contribution to engineering education.
| # | Name | Student ID | Thesis | Certificate | Description |
|---|---|---|---|---|---|
| 1 | Amey Thakur | TU3F1819127 | View | View | Official Engineering Thesis |
| 2 | Hasan Rizvi | TU3F1819130 | View | View | Official Engineering Thesis |
| 3 | Mega Satish | TU3F1819139 | View | View | Official Engineering Thesis |
| 4 | Ajay Davare | TU3F1718006 | View | View | Official Engineering Thesis |
| 5 | Prof. Randeep Kaur Kahlon | Guide | - | View | Project Guide & Mentor |
| 6 | Group | - | View | - | Combined Major Project Thesis |
| # | Resource | Description |
|---|---|---|
| 1 | Plagiarism Report | Detailed analysis of content originality |
| 2 | Scan Report | Automated similarity index scan result |
| 3 | Acceptance Letter | Official acceptance from IJERT Editorial Board |
| 4 | Payment Receipt | Processing fee transaction confirmation |
Tip
Performance Insight & Algorithm Visualization
This project empirically demonstrates the O(N log N) efficiency of QuadTree spatial partitioning compared to the traditional O(N²) brute-force approach for collision detection. The visualization serves as a practical, interactive tool for understanding how recursive subdivision optimizes computational load in dense particle systems.
| Feature | Description |
|---|---|
| Interactive Simulation | Real-time particle system with adjustable spawn rates and physics. |
| Dynamic Partitioning | Visual representation of QuadTree nodes splitting and merging. |
| Collision Detection | Efficient O(N log N) collision checks visualized. |
| Control Panel | Tweak simulation parameters (capacity, boundary, speed) on the fly. |
| Data Generation | Modes for Random bodies, Spawned bodies, or mixed scenarios. |
- Framework: Next.js 14, React 18
- Component Library: Material UI (MUI v5)
- Language: TypeScript
- Styling: SCSS (Modules)
- Graphics: HTML5 Canvas API
QUADTREE-VISUALIZER/
│
├── .github/ # GitHub Workflows & Metadata
│ └── workflows/
│ └── deploy.yml # CI/CD Deployment Workflow
│
├── 25-04-2022/ # Historical Project Snapshot
│ ├── 2022-04-25 at 10.53.18.jpeg # Defense Day Photo 1
│ ├── 2022-04-25 at 10.53.19.jpeg # Defense Day Photo 2
│ ├── 2022-04-25_at_10.53.19_Transparent.png # Defense Day Photo (Transparent)
│ ├── Final Presentation.pdf # Final Defense Presentation (PDF)
│ ├── Final Presentation.pptx # Final Defense Presentation (PPTX)
│ ├── Gmail - Photos.pdf # Email Correspondence
│ ├── Presentation_Preparation.pdf # Prep Notes (PDF)
│ └── Presentation_Preparation.txt # Prep Notes (TXT)
│
├── BlackBook/ # Official Engineering Thesis Documents
│ ├── BlackBook Cover Pages/ # Thesis Cover Designs
│ ├── Certificates/ # Signed Completion Certificates
│ ├── Draft/ # Thesis Draft Versions
│ ├── BlackBook-Ajay_Ramesh_Davare-TU3F1718006.pdf # Individual Thesis (Ajay Davare)
│ ├── BlackBook-Amey_Mahendra_Thakur-TU3F1819127.pdf # Individual Thesis (Amey Thakur)
│ ├── BlackBook-Hasan_Mehdi_Rizvi-TU3F1819130.pdf # Individual Thesis (Hasan Rizvi)
│ ├── BlackBook-Mega_Satish_Modha-TU3F1819139.pdf # Individual Thesis (Mega Satish)
│ └── BlackBook-Group-Combined.pdf # Combined Major Project Thesis
│
├── docs/ # Formal Documentation
│ └── SPECIFICATION.md # Technical Architecture & Spec
│
├── Initial Work/ # Early Prototypes & Research
│ ├── Initial PPTs/ # Idea Pitch Decks
│ ├── Phi Education/ # Educational Context
│ ├── Phi Tasks/ # Task Assignments
│ ├── QuadTree Implementation Examples/ # Reference Implementations
│ ├── Phi Portal Dashboard.png # UI Mockup - Dashboard
│ ├── Phi Portal Login.png # UI Mockup - Login
│ └── Phi Portal Project Plan.png # Project Roadmap Visual
│
├── Major-Project Selection/ # Topic Selection & Approval Records
│ ├── BE STUDENTS LIST SH21/ # Student Batch List
│ ├── Approval Message.png # Guide Approval Proof
│ ├── B.E. Major Project Team Building Details_FH2021.pdf # Team Formation Doc
│ ├── BE Major Project Details of Div A_B_C_AY21_22_ Final.xlsx # Division Details
│ ├── BE STUDENTS LIST SH21.zip # Student List Archive
│ ├── EPIC TN04_Master_BTechProjectList_TitlesForSelection.xlsx # Title Selection List
│ ├── Final Year Project.jpg # Project Concept Art
│ ├── PHI-CS-73.jpeg # Group ID Badge
│ ├── Project Guide Area of specialization 2021 - 2022.pdf # Guide Domain List
│ ├── Project Guide Area of specialization 2021 - 2022.xlsx # Guide Domain Data
│ ├── Studentcopy_TN04_BE_SH2021_SEM VII_PROJECT REVIEW.xlsx # Review Details
│ └── TN04_Project Guide Selection.pdf # Allocation Letter
│
├── Major-Project-I/ # Semester VII Project Phase
│ ├── MAJOR_PROJECT-I_REPORT_PHI-CS-73.pdf # Phase I Report
│ ├── MAJOR_PROJECT_BE-COMPS_B-50,51,58.docx # Draft Report
│ ├── Major Project Attendance [25-10-2021].jpeg # Attendance Record
│ ├── QuadTree_Visualizer_Major-Project-I_CS-73.pdf # Phase I Presentation (PDF)
│ ├── QuadTree_Visualizer_Major-Project-I_CS-73.pptx # Phase I Presentation (PPTX)
│ ├── Review_Major-Project-I_Attendance_Proof.png # Review Attendance
│ ├── Studentcopy_TN04_BE_SH2021 _SEM VII_PROJECT REVIEW.xlsx # Grading Sheet
│ └── TN04_CS Project Details of Div A_B_C Final 27th Aug.xlsx # Division Allocations
│
├── Major-Project-II/ # Semester VIII Project Phase
│ ├── MAJOR_PROJECT-II_REPORT_PHI-CS-73.docx # Phase II Report (Docx)
│ ├── MAJOR_PROJECT-II_REPORT_PHI-CS-73.pdf # Phase II Report (PDF)
│ ├── Major-Project Report.pdf # Final Report Draft
│ ├── QuadTree_Visualizer_Major-Project-II_CS-73.pdf # Phase II Presentation (PDF)
│ └── QuadTree_Visualizer_Major-Project-II_CS-73.pptx # Phase II Presentation (PPTX)
│
├── Mega/ # Archival Attribution Assets
│ ├── Filly.jpg # Companion (Filly)
│ └── Mega.png # Author Profile Image (Mega Satish)
│
├── Reference Papers/ # Literature Survey & Bibliography
│ ├── A Quadtree-based Hierarchical Clustering Method.pdf # Reference Paper
│ ├── An Effective Way to Represent Quadtrees.pdf # Reference Paper
│ ├── Efficient Quadtree Coding of Images and Video.pdf # Reference Paper
│ ├── Energetics of a bouncing drop.pdf # Physics Reference
│ ├── Kinetic Compressed Quadtrees in the Black-Box Model.pdf # Algorithm Reference
│ ├── Nodejs - Using JavaScript to Build...pdf # Tech Stack Reference
│ ├── Optimal Quadtree Construction Algorithms.pdf # Algorithm Reference
│ └── Quad-Tree Motion Modelling with Leaf Merging.pdf # Algorithm Reference
│
├── Research Paper/ # Published Research Assets
│ ├── Certificates/ # Publication Certificates (IJERT)
│ ├── Draft/ # Paper Drafts
│ ├── IJERT/ # Journal Correspondence
│ ├── IJERTV11IS040156 - QuadTree Visualizer.pdf # Published Paper
│ ├── IJERTV11IS040156_Acceptance.pdf # Acceptance Letter
│ ├── IJERTV11IS040156_payment-receipt.pdf # Payment Receipt
│ ├── QuadTree_Visualizer_Plagiarism_Report.pdf # Plagiarism Report
│ └── QuadTree_Visualizer_Plagiarism_Scan_Report.pdf # Scan Report
│
├── Review-1/ # First Progress Review
│ ├── QuadTree_Visualizer_Review-1_CS-73.pdf # Review 1 Report
│ ├── QuadTree_Visualizer_Review-1_CS-73.pptx # Review 1 Presentation
│ ├── Review-1_Attendance_Proof.png # Attendance Proof
│ └── Review-1_Panel.jpg # Panel Photo
│
├── Review-2/ # Second Progress Review
│ ├── QuadTree_Visualizer_Review-2_CS-73.pdf # Review 2 Report
│ └── QuadTree_Visualizer_Review-2_CS-73.pptx # Review 2 Presentation
│
├── Review-3/ # Third Progress Review
│ ├── BE Major Project Review3 Student Schedule FH22.xlsx # Schedule Data
│ ├── QuadTree_Visualizer_Review-3_CS-73.pdf # Review 3 Report
│ ├── QuadTree_Visualizer_Review-3_CS-73.pptx # Review 3 Presentation
│ ├── Review-3_Panel.png # Panel Photo
│ └── Review-3_Schedule.png # Schedule Image
│
├── Review-4/ # Final Defense Review
│ ├── QuadTree_Visualizer_Review-4_CS-73.pdf # Final Review Report
│ └── QuadTree_Visualizer_Review-4_CS-73.pptx # Final Review Presentation
│
├── Source Code/ # Application Source
│ └── quadtree-visualizer/ # Next.js Application Root
│ ├── components/ # React UI Components
│ ├── pages/ # App Routes
│ ├── public/ # Static Assets
│ ├── styles/ # SCSS Theme Files
│ ├── utils/ # Core QuadTree Logic & Physics Engine
│ └── package.json # Dependencies
│
├── Source Code Output/ # Result Artifacts
│ └── Outputs.pdf # Complete Output Gallery
│
├── Submission Report/ # Final Submission Docs
│ ├── Amey_B-50_Submission_Report.pdf # Submission Receipt (Amey)
│ ├── Hasan_B-51_Submission_Report.pdf # Submission Receipt (Hasan)
│ └── Mega_B-58_Submission_Report.pdf # Submission Receipt (Mega)
│
├── .gitattributes # Git configuration
│
├── .gitignore # Git exclusion rules
├── BE-Major-Project.jpeg # Project Banner Image
├── CITATION.cff # Scholarly Citation Metadata
├── codemeta.json # Machine-Readable Project Metadata
├── LICENSE # MIT License Terms
├── README.md # Comprehensive Archival Entrance
└── SECURITY.md # Vulnerability Exposure Policy
An experimental implementation generating QuadTrees from static images.
Kaggle Notebook | Kaggle Dataset
| # | Resource | Type |
|---|---|---|
| 1 | QuadTree Notebook 1 | Jupyter Notebook |
| 2 | QuadTree Notebook 2 | Jupyter Notebook |
| 3 | Kaggle Notebook | External Link |
| 4 | Kaggle Dataset | External Link |
| 5 | Croatia | Image |
| 6 | Filly (Version 2) | Image |
| 7 | Filly (InstaDP) | Image |
| 8 | Filly | Image |
| 9 | Gateway of India | Image |
| 10 | Injila | Image |
| 11 | Lake | Image |
| 12 | Park | Image |
Ensure your environment meets the minimum specifications:
- Node.js: Version 14 or higher.
- npm: Version 6 or higher.
- Browser: Modern web browser (Chrome/Edge recommended) for HTML5 Canvas.
Warning
Technical Dependencies & Environment
This system relies on HTML5 Canvas for high-performance graphical rendering and Node.js for the development server. For stable execution and accurate visual output, ensure that dependencies are installed cleanly and the application is run in a standard modern browser environment.
- Clone the Repository:
git clone https://github.com/Amey-Thakur/QUADTREE-VISUALIZER.git cd QUADTREE-VISUALIZER - Install Dependencies:
Navigate to the source directory and install the required packages:
cd "Source Code/quadtree-visualizer/" npm install
- Start the Development Server:
npm run dev
- Access Web Gateway:
- Navigate to:
http://localhost:3000
- Navigate to:
Tip
High-Performance QuadTree Spatial Visualizer
Experience the IJERT-published research simulation featuring a high-fidelity visualization of recursive spatial partitioning, demonstrating the O(N log N) efficiency of QuadTrees for real-time collision detection and dynamic particle system management.
This section archives the formal evaluation milestones and scholarly projects associated with the Bachelor of Engineering (B.E.) degree in Computer Engineering.
A chronological record of technical reviews, phase reports, and formal evaluations conducted by the institutional review board.
| Milestone | Timeline | Evaluation Focal Point | Official Documentation | Evidence |
|---|---|---|---|---|
| Project Inception | 2021 | Research Domain Selection & Supervisory Allocation | Selection Document | Approval |
| Review 1 | Second Half 2021 | 2:48 PM | Formative Assessment Stage I (Review Board) | PPTX | PDF | Panel | Attendance |
| Review 2 | Second Half 2021 | Progress Review & Interim Technical Presentation | PPTX | PDF | - |
| Major Project - I | October 25, 2021 | 12:29 PM | Summative Evaluation Phase I (Meet: vqt-diqt-edq) |
Report | Docx | Attendance |
| Review 3 | First Half 2022 | Critical Path Scheduling & Methodological Validation | PPTX | PDF | Schedule | Panel |
| Review 4 | First Half 2022 | Formative Assessment Stage II (Architectural Synthesis) | PPTX | PDF | - |
| Major Project - II | First Half 2022 | Summative Evaluation Phase II (Final Technical Repository) | Final Report | Docx | - |
| Final Defense | April 25, 2022 | 10:53 AM | Final Scholarly Defense & Viva Voce | Presentation | Preparation | Photos |
Formal research contribution published in the International Journal of Engineering Research & Technology (IJERT), including authenticity audits.
| Scholarly Project | Institutional Record | Integrity Manifest | Technical Submission |
|---|---|---|---|
| Technical Paper | IJERT Vol 11, Issue 04 | Plagiarism Report | Final Paper |
| Official Acceptance | Editorial Board Approval | Acceptance Letter | Preprint |
| Publication Merit | Publication Certificate | Payment Receipt | View |
Archival records of the comprehensive engineering thesis submitted to the University of Mumbai.
| # | Contributor | Institutional ID | Document Scope | Archival Record |
|---|---|---|---|---|
| 1 | Amey Thakur | TU3F1819127 | Individual Engineering Thesis | View PDF |
| 2 | Hasan Rizvi | TU3F1819130 | Individual Engineering Thesis | View PDF |
| 3 | Mega Satish | TU3F1819139 | Individual Engineering Thesis | View PDF |
| 4 | Ajay Davare | TU3F1718006 | Individual Engineering Thesis | View PDF |
| 5 | Team compilation | CSP705 / CSP805 | Combined Major Project Thesis | View PDF |
| 6 | Submission Receipt | - | Official Submission Evidence | Amey | Hasan | Mega |
Institutional Mentor: Phi Education | Team ID: TN04ExTC9 | Project Team: Amey Thakur, Mega Satish, Hasan Rizvi
This section archives the foundational technical training and pedagogical milestones completed under the Phi Education track. These assessments document the chronological progression of technical proficiency in C-based systems programming and structural optimization, serving as the technical foundation for the project's final implementation.
| Objective | Timeline | Scholarly Project & Training Module | Technical Assessment | Inquiry & Resolution | Approved Outcome |
|---|---|---|---|---|---|
| Logic & Paradigm | September 17, 2021 | Object-Oriented Paradigm Simulation in C Focus: Virtual method simulation and implementation of polymorphism in ANSI C. |
Assessment | - | Approved |
| Design Synthesis | October 01, 2021 | Structural Design Patterns & Logic Validation Focus: Industrial-grade reusable API design for complex data structures (Matrix API). |
Assessment | Inquiry | Approved |
| XML Processing | October 29, 2021 | Hierarchical Data Extraction via TinyXml Focus: Mastery of XML file formats and TinyXML library for persistent data I/O operations. |
Assessment | Inquiry | Approved |
| Spatial Logic | November 12, 2021 | Formal ADT Specification for Spatial Partitioning Focus: Formal definition of the QuadTree Abstract Data Type and relevant manipulation APIs. |
Assessment | Inquiry | Resolution | - |
| Data Definition | November 26, 2021 | Formal Specification of Persistence File Formats Focus: Defining standardized XML schemas for spatial data serialization and retrieval. |
- | - | [Pending] |
| Interface Design | December 10, 2021 | Architectural Synthesis of the pcf_ui LibraryFocus: Graphical event-driven logic and state-based UI transitions via the pcf_ui engine. |
- | - | Repository |
| Advanced Logic (T-7) | December 24, 2021 | Theoretical Logic & System Modeling Focus: Cumulative theoretical logic modeling for complex system behaviors. |
- | - | [Module 07] |
| Advanced Logic (T-8) | January 08, 2022 | UML Structural & Behavioral Modeling Focus: Development of behavioral Sequence Diagrams for core system orchestration. |
- | - | [Module 08] |
| Advanced Logic (T-9) | February 05, 2022 | Iterative Visualizer Implementation Focus: Robust C-based visualizer with memory auditing, file validation, and error handling. |
- | - | [Module 09] |
| Advanced Logic (T-10) | February 12, 2022 | Architectural Component Synthesis Focus: Abstract component synthesis and system-wide data/control flow orchestration. |
- | - | [Module 10] |
| Thesis Prep | April 2022 | Foundational Technical Thesis Presentation | PPTX |
A record of fundamental C-Programming milestones archiving the pedagogical seeds of the project's core spatial algorithms.
| Milestone | Knowledge Module | Technical Focus & System Artifacts | Evaluation |
|---|---|---|---|
| 01 | Geometry & Logic | Basic Geometry & Unit Conversions (Area Calculation Engine) |
View |
| 02 | Algorithmic Finance | Mathematical Logic & Finance ADTs (GCD, LCM, Compound Interest) |
View |
| 03 | Linear Data Structures | Fundamental Array Operations (Search, Sort Implementations) |
View |
| 04 | Array Optimization | Advanced Spatial Array Manipulations (ARRAYOP.C) |
View |
| 05 | Lexical Processing I | String Library Implementation (strcompare, strfindsubstring) |
View |
| 06 | Lexical Processing II | Consolidated String Utility Engine (STR.C) |
View |
| 07 | Analytical Algorithms | Complex String Analysis Algorithms (stringoperation.C) |
View |
| 08 | Polymorphic Logic | Polymorphic Sorting Concepts (sortdatatype.C) |
View |
| 09 | Dynamic Memory | Linked List Data Structures (Recursive Reverse, Merge Sort) |
View |
| 10 | Dictionary ADT | Dictionary ADT Implementation via Hashing Logic | View |
| 11 | File I/O Systems | Sequential File Processing & Tokenization (FILEREAD.C) |
View |
| 12 | Persistence Models | Persistent Data Storage Mechanisms (arrayfile.C, dictionary.C) |
View |
| 13 | Recursive Logic | Iterative & Recursive Data Structure Reversal | View |
| 14 | Optimization Metrics | Complex List Merging & Optimization Assessment (14.c) |
View |
Before the final Next.js implementation, several iterative prototypes were developed to evaluate various spatial partitioning logic and collision detection algorithms. These artifacts represent the technical evolution of the project.
Phase |
Research Artifact |
Technical Objective & Focus |
|---|---|---|
| P-01 | QuadTree Collision Visualizer | Initial feasibility study comparing O(N²) vs O(N log N) spatial logic. |
| P-02 | QuadTree Library | Decoupling of the QuadTree engine into a reusable, modular C-based library. |
| P-03 | QuadTree Visualizer (Prototype) | Early-stage integration of graphical visualization with the recursive partitioning engine. |
The development of the QuadTree Visualizer was informed by a rigorous analysis of established scholarship in computational geometry, spatial data structures, and high-performance rendering. The following bibliography constitutes the primary theoretical foundation for this engineering thesis, categorized by research domain:
| # | Research Domain | Scholarly Publication Title | Technical Focus & Scholarly Contribution |
|---|---|---|---|
| 1 | Computational Geometry | A Quadtree-based Hierarchical Clustering Method | Analysis of hierarchical clustering mechanisms for optimizing large-scale spatial datasets and data visualization. |
| 2 | Computational Geometry | An Effective Way to Represent Quadtrees | Investigation into the theoretical memory efficiency and structural representation of recursive spatial partitioning. |
| 3 | Computational Geometry | Optimal Quadtree Construction Algorithms | Algorithmic derivation and optimization of recursive subdivision processes for spatial indexing. |
| 4 | Physics Modeling | Kinetic Compressed Quadtrees in the Black-Box Model | Theoretical framework for advanced collision detection in dynamic systems and low-density spatial scenes. |
| 5 | Physics Modeling | Energetics of a Bouncing Drop | Synthesis of coefficients of restitution and bubble entrapment logic for high-fidelity physics and collision energetics. |
| 6 | Signal Processing | Efficient Quadtree Coding of Images and Video | Application of QuadTree data structures in image/video signal processing and data compression. |
| 7 | Signal Processing | Quad-Tree Motion Modelling with Leaf Merging | Advanced dynamic node management through leaf-merging techniques for motion modeling. |
| 8 | System Architecture | Nodejs - High-Performance Network Programs | Evaluation of V8 engine performance for real-time execution of high-performance network and graphical programs. |
This repository is openly shared to support learning and knowledge exchange across the academic community.
For Students
Use this major project as a reference for understanding spatial partitioning, QuadTree data structures, and the implementation of recursive subdivision algorithms. The research assets and production scripts are documented to support self-paced learning and exploration of computational geometry.
For Educators
This project may serve as a practical example or supplementary teaching resource for Computer Engineering curriculum or Major Project modules (CSP705 and CSP805). Attribution is appreciated when utilizing content.
For Researchers
The published paper and preprint provide insights into spatial partitioning logic, high-performance recursive algorithms, and the reduction of computational complexity in dynamic spatial environments.
This repository and all linked academic content are made available under the MIT License. See the LICENSE file for complete terms.
Note
Summary: You are free to share and adapt this content for any purpose, even commercially, as long as you provide appropriate attribution to the original author.
Copyright © 2022 Amey Thakur, Mega Satish, Hasan Rizvi
Created & Maintained by: Amey Thakur, Mega Satish & Hasan Rizvi
Academic Journey: Bachelor of Engineering in Computer Engineering (2018-2022)
Institution: Terna Engineering College, Navi Mumbai
University: University of Mumbai
This repository serves as a permanent technical record for QuadTree Visualizer, developed as the 8th Semester Major Project. It highlights the practical application of hierarchical data structures in spatial algorithm optimization and the deployment of high-performance interactive simulations via modern web interfaces.
Connect: GitHub · LinkedIn · ORCID · Mega's ORCID
Grateful acknowledgment to Mega Satish and Hasan Rizvi for their exceptional collaboration and scholarly partnership during the development of this project. Their constant support, technical clarity, and dedication to software quality were instrumental in achieving the system's functional objectives. Learning alongside them was a transformative experience; their thoughtful approach to problem-solving and steady encouragement turned complex requirements into meaningful learning moments. This work reflects the growth and insights gained from our side-by-side academic journey. Thank you, Mega and Hasan, for everything you shared and taught along the way.
Grateful acknowledgment to Prof. Randeep Kaur Kahlon (Project Mentor) and the faculty members of the Department of Computer Engineering at Terna Engineering College for their guidance and instruction in computational geometry. Their expertise in spatial data structures and recursive algorithms helped me develop a strong understanding of professional software engineering methodologies.
Special thanks to the mentors and peers whose encouragement, discussions, and support contributed meaningfully to this learning endeavor.
Authors · Overview · Features · Structure · Results · Quick Start · Academic Record · Milestones · References · Usage Guidelines · License · About · Acknowledgments
Computer Engineering (B.E.) - University of Mumbai
Semester-wise curriculum, laboratories, projects, and academic notes.