Author Archive: Yugesh Verma

Online Cybercrime Reporting System using PHP and MySQL

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Buy Source Code ₹501

Are you looking for a simple yet powerful final year project? We bring you a complete working project – Online Cybercrime Reporting System built using Core PHP and MySQL. This project is easy to understand, well-structured, and suitable for students who want a practical system for reporting and tracking cybercrime complaints online.

This system includes 3 modules:
- User Panel (to file complaints)
- Admin Panel (to manage the whole system)
- Officer Panel (to update progress)

It works 100% offline on localhost using XAMPP – no need for hosting or SMS/Email setup.

Features Explained

User Panel:
- Create Account & Login
- File New Complaint (Title, Type, Description)
- View Complaint History
- Track Officer Updates (Progress Notes)
- Secure Logout

Admin Panel:
- Login as Admin
- View All Complaints
- Assign Complaints to Available Officers
- Track Officer’s Progress
- Manage Officers and Users
- Logout

Officer Panel:
- Login using given credentials
- View complaints assigned by admin
- Add progress updates (status, note, remarks)
- Mark cases as resolved
- Logout

Technologies Used

Frontend: HTML, CSS, JavaScript, Bootstrap
Backend: Core PHP with PDO
Database: MySQL
Tool Required: XAMPP (Windows/Linux/Mac)

Installation Guide

  1. Download Project:
    After payment, you’ll get a ZIP file containing:
    - Full source code
    - SQL database
    - Installation instructions

    2. Extract Files:
    Extract to: C:\xampp\htdocs\online cybercrime reporting website\

    3. Setup Database:
    - Start XAMPP (Apache & MySQL)
    - Go to http://localhost/phpmyadmin
    - Import `cybercrime_db.sql`

    4. Check DB Connection in db.php (usually no changes needed):
    $host = 'localhost';
    $dbname = 'cybercrime_db';
    $username = 'root';
    $password = '';

    5. Run the Project:
    Go to: http://localhost/online%20cybercrime%20reporting%20website/

Login Details

Admin:
URL: /admin/login.php
Username: admin@gmail.com
Password: ram123

Officer:
URL: /officer/login.php
Username: officer1@gmail.com
Password: ram123

User:
URL: /user/login.php
Email: ram@gmail.com
Password: ram123123

What You Will Get

- Full Source Code (PHP files)
- MySQL Database (.sql)
- Step-by-Step Installation Guide (PDF)
- Free support after purchase (via WhatsApp/Email)
- Ready to run on localhost

Why Students Love This Project

- Clean and simple UI using Bootstrap
- Easy for beginners to understand PHP code
- Real-world use case: Cyber complaint handling
- Ready to submit as mini or major project
- No complex setup – just import and run!

Online Gas Booking System Using PHP and MySQL

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Buy Source Code ₹501

Welcome to the complete Online Gas Booking System package. This document explains everything you need to install, configure, and test the project on your own computer. If you follow the steps below exactly, the site will be up and running in minutes.

1. System Requirements

RequirementMinimum Version
PHP7.2 or higher
MySQL / MariaDB10.1 or higher
Web ServerApache (bundled with XAMPP/Wamp)
BrowserLatest Chrome / Edge / Firefox

2. Installation Guide (XAMPP)

  1. Install XAMPP server and start Apache & MySQL.Download from https://www.apachefriends.org/index.html
  2. Copy the entire 'gas_booking_system' folder into C:\xampp\htdocs\
  3. Open http://localhost/phpmyadmin, click 'Databases', and create a new DB named gas_booking_system.
  4. Select the new DB, click 'Import', choose gas_booking_system.sql, and press 'Go'. This will create all tables and seed default data.
  5. Open db.php and ensure these credentials match your environment:
    host: localhost
    dbname: gas_booking_system
    username: root
    password: (leave blank)
  6. Run the project in your browser: http://localhost/gas_booking_system/

3. Default Login Details

Role / PageUsername / EmailPassword
Admin  (/admin/)admin@example.comPassword
Delivery Staff  (/delivery/)delivery@example.compassword
User  (/user/)ramji@gmail.comRam123

4. Database Design (high‑level)

TablePurposeKey Columns (excerpt)
usersStores all accounts (admin, user, delivery)id, name, email, password, role
bookingsGas cylinder ordersid, user_id, quantity, booking_date, status
delivery_assignmentsMapping bookings ⇢ delivery staffid, booking_id, delivery_id, assigned_on
payments (optional)If you enable online payments laterid, booking_id, amount, txn_id, paid_on

5. Usage Workflow

  • User logs in, books a cylinder, and receives a booking ID.
  • Admin sees 'Pending' bookings and assigns a Delivery Staff member.
  • Delivery Staff logs in, marks order as 'In Transit' or 'Delivered'.
  • User dashboard displays live status updates.

6. Customization Tips

  • Replace assets/images/logo.png and edit partials/header.php to change branding.
  • Status labels (Pending, Confirmed, Delivered) are defined in config/constants.php.
  • Add more delivery staff by inserting new rows in the users table with role = delivery.
  • Enable PDF invoice generation by uncommenting code in admin/view-booking.php and adding the TCPDF library.

7. Troubleshooting

IssueFix
Blank page / error 500Enable error reporting in php.ini or add ini_set("display_errors", 1); at the top of index.php.
SQLSTATE[42S22] Unknown columnMake sure you imported this SQL file and not an older dump.
Login fails for all rolesVerify passwords are hashed; reset via phpMyAdmin using password_hash().

8. Need Help or Custom Features?

Email: projectworldsofficial@gmail.com
WhatsApp: +91-7000830947
Website: https://projectworlds.in

Build Your Own Text-to-Image Generator Using Python and AI

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Have you ever wanted to transform words into stunning, photorealistic images — all with the power of AI? In this tutorial, we’ll show you how to build your own Text-to-Image Generator using Python and the latest Realistic Vision model, completely offline and with no paid API.

Whether you're building a portfolio project or just experimenting with AI creativity, this is a must-try.

 Project Highlights:

  • ✅ Text-to-image and image-to-image generation

  • ✅ Uses the latest Realistic Vision V6.0 (v51 Hyper VAE)

  • ✅ 100% Offline – No API keys or internet needed after setup

  • ✅ Supports both GUI (Tkinter) and Web (Flask) interfaces

  • ✅ Generates high-quality 512x512 PNG images

  • ✅ Progress bar, output path display, and download support

Warning: Unfiltered Image Generation

This project uses unfiltered AI models and disables the safety_checker.
You may generate NSFW (Not Safe For Work), violent, or biased content depending on your prompts.

Use responsibly.
This tool is meant for educational and research purposes only.
Always monitor and moderate outputs before sharing them publicly.

 What is Realistic Vision?

Realistic Vision is one of the most popular and powerful Stable Diffusion models known for its:

  • Hyper-realistic facial rendering

  • High detail in skin, lighting, clothing

  • Outstanding results for both artistic and photographic styles

We're using:
📦 realisticVisionV60B1_v51HyperVAE.safetensors

This version includes Hyper VAE for better detail and contrast in generations.

Model Download

Prerequisites

  • OS: Windows, Linux, or macOS

  • Python: 3.10.x (Recommended)

  • A CUDA-capable GPU (Optional, but highly recommended for faster generation)

  • At least 8GB RAM (16GB+ preferred for stable performance)

  • Git (optional, for cloning)

Step 1: Install Python 3.10

If not already installed, download and install Python 3.10 from:

https://www.python.org/downloads/release/python-3100/

During installation, ensure:

  • "Add Python to PATH" is checked

Step 2: Install Requirements

  • pip install -r requirements.txt

Step 3: Download the Model File

Download the model file manually:

Place the file in your project root (same folder as app.py or gui.py).

Step 4: Run the App

  • python app.py

Download Source Code

Optional if you directly run without Exe file available 4.8 GB

Run EXE Directly – No Setup Needed

Download EXE Version (Includes AI Model)

  • Just double-click the EXE file – no installation required

  • Works offline using your system’s power (no internet or API needed)

  • Supports Text to Image generation

  • Total Size: ~4.8 GB

  • Minimum: 8 GB RAM required for smooth performance

  • 🔗 Download EXE Version

 

Doctor Appointment Booking System Project in PHP & MySQL

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Buy Source Code ₹501

Doctor Appointment Booking System Project in PHP & MySQL with Source Code

Looking for a fully functional Doctor Appointment Booking System project built using PHP and MySQL?
This is a complete, ready-to-use, easy-to-customize project for hospitals, clinics, and healthcare centers that helps manage doctor appointments online.

This PHP project comes with a secure login system for Admins, Doctors, and Patients, allowing smooth management of appointments, doctors, and specializations.

Whether you’re a student working on a final-year project or a developer seeking a robust appointment booking system, this project is perfect for you!

✅ Project Overview:

The Doctor Appointment Booking System is designed to simplify the process of booking and managing appointments between doctors and patients. The system provides different panels for each user role:

🏥 Admin Panel:

  • Login securely as Admin.
  • Add, Edit, and Delete Doctor Specializations.
  • Add, Edit, and Delete Doctors.
  • View All Appointments.
  • Edit Appointment Details (Date, Time, Status).

👨‍⚕️ Doctor Panel:

  • Secure Doctor Login.
  • View Assigned Patient Appointments.
  • Edit Appointment Details (Change Date, Time, Status).
  • Easy Appointment Management from Dashboard.

👩‍⚕️ Patient Panel:

  • Patient Registration & Login.
  • Book Appointments with Available Doctors.
  • View Appointment History.
  • Secure Password Encryption with Password Hashing.

📃 Public Pages (Available for Everyone):

  • Doctors Page (List of Doctors)
  • Services Page (List of Services)
  • About Us Page (Information About the Clinic/Hospital)
  • Contact Us Page (Contact Details)

✅ Features Included:

  • Full Admin Control Panel
  • Multi-Role Login System (Admin, Doctor, Patient)
  • Doctor Specialization Management
  • Appointment Booking & Scheduling
  • Doctor Can Manage & Edit Their Appointments
  • Session-Based Secure Login System
  • Password Hashing using PHP password_hash() and password_verify()
  • Simple and Responsive Front-End (Clean UI)
  • Public Pages for Information (About, Contact, Doctors, Services)
  • MySQL Database Included
  • Easy to Customize & Extend
  • Clean Code with Comments for Easy Learning

✅ Project Technology Stack:

  • Frontend: HTML, CSS (Minimal, Clean Design)
  • Backend: Core PHP (No Framework)
  • Database: MySQL (phpMyAdmin Compatible)

✅ Included Files:

  • Full PHP Source Code
  • SQL Database Dump (doctor_appointment.sql)
  • CSS & JS Assets (Basic UI)
  • Complete Project Folder Structure

✅ Installation Process:

  1. Download the Project ZIP and extract it.
  2. Move the extracted folder (e.g., doctor-appointment/) into your web server root directory (htdocs for XAMPP or www for WAMP).
  3. Import the SQL file:
    • Open phpMyAdmin.
    • Create a new database named:

CopyEdit

doctor_appointment

    • Import the file:

database/doctor_appointment.sql

  1. Update your database connection settings if needed in:
  2. Now visit:

arduino

CopyEdit

http://localhost/doctor-appointment/

  1. ✅ Default Admin Login:
    • Username: admin
    • Password: admin123

✅ Project Structure Overview:

  • /admin/ – Admin Panel (Login, Dashboard, Doctor & Appointment Management)
  • /doctor/ – Doctor Panel (Login, Dashboard, Appointments Management)
  • /user/ – Patient Panel (Register, Login, Bookings)
  • /assets/ – CSS & JS Assets
  • /database/doctor_appointment.sql – MySQL Database Dump

✅ Why Use This Project?

  • Great for Final Year Projects & Learning PHP CRUD
  • Easy to Customize for Real-World Clinic or Hospital
  • Simple & Clean Codebase for Quick Learning

Pharmacy Management and Billing System in PHP MySQL

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Buy Source Code ₹1001

This Pharmacy Billing System is a professional-level final year college project built using Core PHP, MySQL, HTML, Bootstrap, and inline CSS/JS. It helps manage medicine stock, billing, invoice generation, and sales reporting in a streamlined and digital way.

Ideal for BCA / MCA / BSc IT / MTech / BTech / Diploma students who need a complete working project with project report, PPT, and full source code.

✨ Project Features:

  • ✅ Add / Manage Medicine Stock
  • ✅ Company Management (Add / Edit / Delete)
  • ✅ Sell Medicine with Quantity Check
  • ✅ Auto Invoice Generation
  • ✅ Print Invoice (A4 Format)
  • ✅ Sales Report with Date Filter
  • ✅ Role-Based Login (Admin & Pharmacist)
  • ✅ Admin Dashboard to Monitor Sales
  • ✅ Simple and User-Friendly Interface
  • ✅ Built using Core PHP and MySQL (No Framework)

🛠️ Installation Steps (XAMPP):

  1. Download Source Code
    Unzip the file and place it in C:\xampp\htdocs\pharmacy_billing
  2. Start XAMPP
    Open XAMPP Control Panel and start Apache and MySQL
  3. Create Database
  4. Import Database
    • Select pharmacy_billing database
    • Go to Import → Upload and import pharmacy_billing.sql
  5. Run the Project

🔐 Login Credentials:

👤 Admin Panel:

  • Username: admin
  • Password: admin123

👤 Pharmacist Panel:

  • Username: pharma4
  • Password: pharma4

🎓 Special for Final Year Students (Requirements Based) Charges Applicable

✅ Project Report (DOC + PDF Format)
✅ PowerPoint Presentation (PPT)
✅ Source Code with Step-by-Step Comments
✅ WhatsApp Support for Error Fixing
✅ Customization Available on Request

📞 Contact Us (For Projects & Queries):

  • 📲 WhatsApp / Call: +91 7000830947
  • 📧 Email: projectworldsofficial@gmail.com
  • 📹 YouTube Channel: @projectworlds

For custom PHP, Java, Python, Django projects with report + PPT, contact us directly on WhatsApp.

Cricket Ticket Booking System using PHP & MySQL

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Buy Source Code ₹501

The Cricket Ticket Booking System is a webbased application that allows users to book tickets for cricket matches online. It includes:
Built with PHP, MySQL, JavaScript, Bootstrap 5, and TCPDF, this system is ideal for college projects or smallscale event management.

✨ Key Features

👥 User Features

  1. User Registration & Login
  2. Secure password hashing (bcrypt)
  3. Profile management (name, address, DOB)
  4. Password reset functionality
  5. Match Ticket Booking
  6. View upcoming matches
  7. Select ticket type (Normal/VIP/VVIP)
  8. Choose quantity and calculate total price
  9. Realtime seat availability check
  10. User Dashboard
  11. View booking history
  12. Print/download tickets as PDF
  13. Edit profile information
  14. Ticket Management
  15. Unique booking IDs for each transaction

🛠️ Admin Features

  1. Admin Authentication
  2. Secure admin login
  3. Session based access control
  4. Match Management
  5. Add/edit/delete matches
  6. Set ticket prices and availability
  7. Manage match dates and venues
  8. User Management
  9. View all registered users
  10. Edit user details
  11. Delete users (with confirmation)
  12. Sales & Reporting
  13. View all bookings
  14. Filter by date range
  15. Revenue analytics dashboard
  16. Ticket Inventory
  17. Track available tickets
  18. Prevent overbooking
  19. Update ticket counts

🖥️ Technical Stack

  1. Frontend  | HTML5, CSS3, Bootstrap 5, JavaScript |
  2. Backend   | PHP (Procedural) |
  3. Database  | MySQL |
  4. PDF Generation | TCPDF Library |
  5. Security  | Password hashing, Prepared statements, Session management |
  6. Server    | XAMPP (Apache, MySQL) |

🚀 How to Run?

  1. Setup XAMPP/WAMP

Import `cricket_tickets.sql` into PHPMyAdmin

Configure database in `includes/config.php`

 

  1. Access the System

User Side: `http://localhost/cricketticketbooking/`

Admin Panel: `http://localhost/cricketticketbooking/admin/login.php`

(Default admin: `admin` / `12345678`)

🎯 Ideal For

✅ College PHP/MySQL projects

✅ Event management systems

✅ Sports club ticket booking

✅ Learning fullstack web development

 

Kiran Store Management System using PHP & MySQL

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Buy Source Code ₹501

The Kiran Store Management System is a simple yet powerful web-based application built using Core PHP and MySQL that helps local Kirana (grocery) shops manage their daily operations such as stock tracking, product management, billing, and customer details.

This project is ideal for BCA, MCA, B.Tech, M.Tech, BSc CS, and Diploma final year students.

✨ Key Features:

  • ✅ Admin Login
  • ✅ Product Management (Add/Update/Delete)
  • ✅ Inventory Stock Control
  • ✅ Customer Management
  • ✅ Bill Generation and History
  • ✅ Category-wise Product Display
  • ✅ Real-time Product Search
  • ✅ Bootstrap-Based Responsive Design
  • ✅ MySQL Database Integration

💻 Technologies Used:

  • PHP (Core PHP)
  • MySQL
  • HTML5/CSS3
  • JavaScript
  • Bootstrap

🔧 Installation Steps (Run on Localhost):

  1. Download the project ZIP file and extract it.
  2. Move the folder to xampp/htdocs/
  3. Start XAMPP and enable Apache and MySQL
  4. Open http://localhost/phpmyadmin
  5. Create a database (kiranadb)
  6. Import the provided .sql file from the project folder.
  7. Visit http://localhost/kiranstore/ in your browser.
  8. Admin Login

Id-admin

Password-admin123

📩 Need Customization / Report / PPT?
Contact us:

  • 📞 +91 7000830947 (WhatsApp)
  • 📧 projectworldsofficial@gmail.com

🚀 Download Includes:

  • Full Source Code
  • SQL Database File
  • Installation Guide
  • Project Report (On Request) Charges Applicable
  • PowerPoint Presentation (On Request) Charges Applicable

 

Gate Pass Management System in PHP MySQL with Source Code

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🔐 Gate Pass Management System in PHP MySQL with Source Code

Looking for a final year project in PHP? Our Gate Pass Management System is a web-based application developed using Core PHP and MySQL, designed to streamline gate pass entry and management for schools, colleges, offices, or organizations.

This system allows admin to manage visitor or employee gate passes, track entries/exits, and ensure authorized access — all from a simple, secure interface.

✅ Key Features

  • 🔐 Secure login system for admin
  • 📄 Add, view, and manage gate passes
  • 👤 Track visitor details (name, mobile, address, purpose, etc.)
  • 🕒 Record in-time and out-time
  • 📊 View and export pass records
  • 📅 Date-wise search and filter
  • 🧑‍💻 Admin dashboard with summary stats
  • 📂 Clean and responsive UI (Bootstrap-based)

🛠️ Technologies Used

  • 🌐 Frontend: HTML5, CSS3, Bootstrap, JavaScript
  • 💾 Backend: Core PHP
  • 🛢️ Database: MySQL
  • 🖥️ Web Server: XAMPP (Apache + MySQL)

📥 What's Included

  • 📁 Full Source Code (PHP Files)
  • 🗃️ SQL Database File
  • 📝 Project Report (PDF or Word format)
  • 🎓 ReadMe File with Setup Instructions

🧠 Who Can Use This?

This project is ideal for:

  • 🎓 BCA / MCA Final Year Students
  • 🎓 BSc / MSc Computer Science
  • 🎓 BTech / MTech IT Projects
  • 👨‍💻 Anyone learning PHP + MySQL

🔧 How to Install the Project (Step-by-Step)

  1. Download the project ZIP file and extract it.
  2. Copy the extracted folder and paste it into:
    C:\xampp\htdocs (for Windows users)
  3. Open XAMPP Control Panel and start Apache and MySQL services.
  4. Go to your browser and type:
    http://localhost/phpmyadmin
  5. Click on Database tab and create a new database (e.g., gatepass_db).
  6. Click Import tab, choose the .sql file from the project folder, and click Go.
  7. Now in your browser, type:
    http://localhost/gatepass/ or your folder name.
  8. 🎉 Done! The project will now run on your localhost.

📧 Support & Customization

Need a custom project report, PowerPoint presentation, or full customized project?

📩 Email: projectworldsofficial@gmail.com
📞 Contact for Reports/PPT: +91 7000830947
📞 Contact for Project Development: +91 6263056779

🔗 Explore More Projects

  • 🚀 Machine Learning Projects
  • 💻 PHP Projects
  • 🐍 Python Projects

📦 Delivery Format

  • ✅ Instant Download (ZIP File)
  • ✅ Includes Source Code + SQL + Report
  • ✅ Ready to Run on Localhost

📁 Download Link

 

AI Resume Analyzer Using RoBERTa – Match Your Resume to Job Descriptions with Skill Gap Analysis

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In today's job market, resumes need to be tailored to each job. This AI Resume Analyzer automates that process using semantic matching, allowing job seekers to upload their resume and see how well it matches a given job description — just like a recruiter might do using an ATS (Applicant Tracking System).

What This Project Does

  • ✅ Upload any PDF resume

  • ✅ Paste the job description

  • ✅ AI calculates a semantic match score using RoBERTa

  • ✅ Shows you:

    • ✅ Matched skills

    • ❌ Missing keywords

    • 🛠 Smart improvement suggestions

  • ✅ Clean, modern UI built with Tailwind CSS

  • ✅ AI model info shown for credibility

🔍 How It Works

This tool uses RoBERTa (stsb-roberta-large) from the SentenceTransformers library. Unlike simple keyword matching, it evaluates how well your resume matches the meaning of the job description.

We also use a Named Entity Recognition (NER) model to extract skills and experience from the resume, and compare it with the JD to identify skill gaps.

💡 Why It's Better Than Keyword Matching

Traditional resume checkers just look for exact matches. But this tool understands:

  • Synonyms (e.g. “REST API” vs “backend service”)

  • Job roles vs responsibilities

  • Skill clusters

That’s why it’s ideal for students, job seekers, or HR teams who want deeper, smarter analysis.

🛠 Tech Stack

ComponentTech Used
FrontendTailwind CSS, HTML, Jinja2 Templates
BackendFlask (Python)
PDF ParsingPyMuPDF
NLP ModelRoBERTa (stsb-roberta-large)
Skill ExtractionTransformers NER Model
Suggestions EngineRule-based system

📦 Download Source Code

🎯 Download Resume Analyzer with AI Matching
💡 Includes full project: Code + HTML + Models + Suggestions Engine

Customer Segmentation for E-commerce using KMeans (Python Flask)

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Understanding your customers is key to growing your online business. This project leverages KMeans Clustering, a machine learning algorithm, to automatically segment your customers based on shopping behavior like spending score, income, and shopping frequency.

Built using Python, Flask, and Tailwind CSS, this project is perfect for:

  • Final-year students in Data Science or Machine Learning
  • E-commerce startups or marketers looking to understand customer types
  • Beginners learning Flask web apps + ML integration

📥 Download Customer Segmentation Project

✅ Click Here to Download Full Project with Source Code (ZIP)

Features of This Project:

  • 🧮 Customer Clustering using KMeans Algorithm

  • 📊 Interactive Dashboards with visualizations:

    • Elbow Method Plot

    • PCA 2D and 3D Graphs

    • Pie Chart & Bar Chart for Customer Type Distribution

  • 🔍 Silhouette Score to measure clustering performance

  • 🧑‍💼 Easy-to-understand UI for shop owners

  • 👨‍💻 Toggle for Data Science View (Detailed technical plots)

  • ⬇️ CSV Export of clustered customers with segment labels:

    • Budget Shoppers

    • High Spenders

    • Occasional Buyers

    • Loyal Customers

Technologies Used:

  • Python 3.x
  • Flask Web Framework
  • Pandas, NumPy, Scikit-learn
  • Matplotlib, Seaborn
  • Tailwind CSS (for UI)
  • HTML5 / Jinja2

📝 How It Works:

  1. User uploads a CSV file with customer data.
  2. Backend preprocesses it and applies KMeans clustering.
  3. Results are shown visually with charts and segment labels.
  4. Optionally, users can download the analyzed data for marketing insights.

What You Get in the ZIP:

  • Complete source code (app.py, templates, static files)
  • Pre-built HTML with Tailwind UI
  • Dataset and sample input
  • Readme + setup instructions
  • Labeled output CSV
  • Project Report + PPT

Download Full Project with Source Code (ZIP)