Hello I’m Hamza Ali

Live Call Translator Twilio

Developed an advanced Live Call Translation System using Twilio, Node.js, WebSocket (WS), and Socket.IO, enhanced with Google Cloud's speech-to-text and text-to-speech services. This sophisticated platform supports real-time voice translation across 104 languages, catering to diverse global communication needs.

When a user initiates a call to a designated Twilio number, the system engages through Twilio's webhook to transfer the call to our translation platform. Here, the agent's browser automatically detects and sets the default source language, while the agent manually selects the caller's language to streamline the translation process.

System Workflow:

Upon a user dialing a designated Twilio number, the call is seamlessly redirected to our platform via Twilio’s webhook. The system automatically detects and sets the agent’s browser language as the source language, while allowing the agent to manually select the caller’s language for accurate translations.

Key features of the system include

Silence Detection

Utilizes silence detection technology where the system processes speech to text and translates it when the caller pauses for 500 milliseconds. The text is then converted back to speech, ensuring a smooth conversational flow with an impressively low voice lag of about 0.5 milliseconds.

Live Transcription Display

Offers real-time transcription display to the agent, enhancing their ability to manage and respond to the conversation effectively.

Audio Customization Options

Provides agents the ability to select the gender of the synthesized voice and choose their microphone source, be it an external device or another specified option.

Transcription Management

Features robust transcription management tools, including options to download and delete transcriptions, ensuring data can be retained for future reference or removed for privacy.

Playback Controls

Includes flexible playback options, allowing agents to either listen to the translated speech or simply read the live transcription, catering to diverse operational preferences.

This project not only demonstrates my technical proficiency in integrating multiple advanced technologies but also emphasizes my commitment to creating solutions that enhance communication efficiency and accessibility on a global scale.

Levate.ai: Comprehensive Business Management Platform

Developed the front-end and back-end components for Levate.ai, a sophisticated business management platform aimed at enhancing operational efficiencies through streamlined data handling and user interactions. My role involved constructing robust CRUD operations and implementing a secure authentication system, including features for login, signup, password recovery, and password reset.

The platform's dashboard is designed to provide a comprehensive overview of key financial metrics, including total revenue, pre-booking revenue, post-booking revenue, and in-stay revenue. These metrics are displayed both numerically and visually via dynamic graphs, allowing users to grasp complex data at a glance.

Additionally, I implemented a versatile ticketing system where users can create, delete, and edit tickets, as well as mark them as resolved. This system is crucial for maintaining effective customer service and internal task management. User profiles can also be edited, ensuring personal and professional information is up-to-date.

While the machine learning components of the project were handled by the client, my contributions were pivotal in managing data interactions with a MySQL database, ensuring seamless data flow for the ML algorithms to perform optimally. This project highlights my proficiency in developing intuitive interfaces and backend functionalities that support complex, data-driven business operations.

Video Dubbing System

I developed an advanced Voice Dubbing and Translation System, which leverages cutting-edge technology to enable multi-language translation of video content with cloned voice options. This system allows users to select the source and target languages, determine the number of speakers in the video, and customize subtitles either by burning them directly into the video or by uploading their own SRT files. Supported video sources include local storage, YouTube, Vimeo, and Google Drive.

Technological Stack

Frontend: HTML5, JavaScript, React Backend: Node.js, Python, AWS Lambda, Amazon DynamoDB, Amazon EC2 AI and ML Technologies: OpenAI's ChatGPT, Whisper AI for voice recognition and cloning, Automated Dialogue Replacement (ADR) for film dubbing Other Technologies: Translation APIs, Voice Acting simulation

Impact and Applications:

The system significantly enhances accessibility and inclusivity, allowing content creators, broadcasters, and educational institutions to effortlessly reach a global audience. By eliminating language barriers, the project not only expands the reach of digital content but also democratizes access to information, education, and entertainment across diverse linguistic groups.

My Role:

As the lead developer, I spearheaded the project from conception through deployment, overseeing the architectural design and integration of various technologies. My responsibilities included collaborating with AI specialists and linguists to enhance the accuracy of voice cloning and translation algorithms, ensuring the system’s scalability, and maintaining high performance and quality standards during video processing. This role demanded a deep understanding of both the technical and creative aspects of digital media production, which I managed by aligning our technological capabilities with the project's ambitious goals.

Conclusion:

This Voice Dubbing and Translation System exemplifies the transformative potential of integrating artificial intelligence with multimedia content creation. It reflects my dedication to leveraging sophisticated technologies to forge more engaging, inclusive, and versatile digital experiences. Through this project, I have contributed to setting new standards in the field of automated video dubbing and translation, paving the way for future innovations in global multimedia accessibility.

Podcast Translation System

I developed a sophisticated live podcast translation system designed to facilitate multilingual communication across diverse language speakers in real-time. This system enhances accessibility and interaction during podcasts through three core interfaces, each tailored to specific user roles:

Moderator Interface

User Management: Moderators can add or remove presenters and manage their participation in the podcast.

Message Approval: Features an option for manual confirmation of messages before broadcasting or an auto-send feature for streamlined communication.

Transcript Management: Moderators have access to view, download, or delete transcripts of the podcast sessions.

Sharing Tools: Provides tools like public URLs and QR codes, enabling moderators to share access to the podcast seamlessly.

Presenter Interface

Language Selection: Presenters can select their preferred language for both speaking and listening, ensuring they communicate effectively in their native language.

Real-Time Translation: All messages are automatically translated and can be listened to in the presenter's chosen language, despite the original language of communication.

Advanced Controls: Options are available for managing audio preferences, such as silence duration, gender of the voice, and the source of audio, enhancing the clarity and quality of the communication.

Transcript Access: Presenters can view and download transcripts of their sessions, which are useful for review and record-keeping.

Public Interface

Listening Capabilities: The public can listen to the live translated podcast in their selected language. This interface is designed strictly for listening, with no capabilities for sending messages, ensuring a focused and uninterrupted experience.

This system integrates cutting-edge technologies for real-time speech recognition and translation, providing a seamless and engaging platform for global audiences to participate in multilingual discussions effortlessly. It is a pivotal tool for podcasts aiming to reach a diverse, international audience.

Credentials for Testing

Email: hamzaig@yahoo.com

Password: 123123123

Unite: Multilingual Communication System

Overview: Unite is an advanced multilingual communication system designed to facilitate global interaction in real-time. It allows a presenter to speak in their native language while listeners can hear the presentation in their own languages. The system also supports multilingual Q&A sessions, enabling listeners to ask questions in their language, which are then translated for the presenter.

Key Features and Modules:

Presenter Interface:

• Language Selection: Presenters can choose their preferred language for presentation.
• Real-Time Speech-to-Text Translation: Converts spoken language into text, translating it into multiple languages in real-time.
• Interactive Transcript: Transcripts of the presentation are available for download.
• Q&A Integration: Presenters receive questions from listeners in their native language, translated by the system.
• QR Code for Easy Access: A dynamically generated QR code allows quick access to the presentation stream.

Listener Interface:

• Language Customization: Listeners select their preferred language to receive audio translations.
• Downloadable Transcripts: Access to real-time translated transcripts of the presentation.
• Question Submission: Listeners can submit questions either by typing or speaking.
• Engagement Tools: Options to engage with the presentation through likes and comments.

Public Interface:

• Read-Only Access: Listeners can join to listen or read the translated presentation without interaction capabilities.
• Multi-Language Support: Offers a diverse selection of languages to cater to a global audience.
• Accessibility Features: Tools to enhance the experience for users with disabilities.

Management Dashboard:

• Session Control: Moderators can manage session settings.
• Analytics: Insightful analytics on audience demographics and engagement metrics.
• Security Settings: Advanced settings to ensure the privacy and security of the communications.

Technical Specifications: Utilizes cutting-edge technologies including real-time speech recognition, machine translation, and web-based streaming to provide a seamless and inclusive communication platform. The system is built using robust web technologies ensuring high scalability and reliability.

Application Areas: Ideal for international conferences, webinars, educational lectures, and any event where language diversity is present.

Cambridge Past Papers

In response to the challenge of efficiently managing and uploading an extensive collection of academic past papers, I engineered an optimized content organization system. I structured the past papers in a meticulously organized directory, categorized by subject and further divided by year (e.g., 2010, 2011, etc.). Each PDF was methodically placed within its corresponding folder, facilitating straightforward access and management.

To enhance user interaction, I implemented a dynamic display and downloading system using programming loops. This system automatically populates a user interface with available papers, offering options to view and download directly. My role was focused on establishing this robust file structure and developing the interface that allows users to easily navigate through a vast amount of academic resources. This solution not only streamlined the process of adding new papers but also significantly improved the user experience by reducing the time needed to locate and access specific documents.

FlanX: Freelancer Database Platform

FlanX is engineered as a pioneering database and networking platform tailored for freelancers across various industries. It serves as the world's first comprehensive directory, enabling clients to seamlessly connect with top-tier freelancers.

Key Features

• Homepage Overview: Introduces "The World's First Database For Freelancers," featuring a prominent search bar for easy access to freelancer profiles or specific categories like IT & Programming, Design & Art, and more.
• Search and Filtering System: Sophisticated search interface with filters for skills, rate range, region, and more, designed to efficiently match clients with the ideal freelancers.
• Freelancer Profiles: Detailed profiles showcase expertise, rate, location, skills, projects, and direct engagement options.
• User Account Interface: User-friendly account management interface includes main information, additional details, portfolio links, and settings.
• Integration with Multiple Platforms: Allows linking of profiles from various freelancing websites to enhance visibility and provide a comprehensive view of a freelancer’s credentials.

FlanX simplifies finding and hiring freelancers while providing them a robust tool to showcase their work, expand their reach, and efficiently manage their freelance careers. This platform is a significant advancement in the digital freelancing landscape, offering a centralized, streamlined, and accessible solution for both freelancers and clients globally.

Casa App: Photo and Video Sharing Platform

Casa App is an advanced photo and video sharing social networking service that empowers users with complete control over their posts and comments. This platform provides a user-friendly environment where individuals can freely express themselves through multimedia content while managing interactions comprehensively.

Key Features

• User-Centric Control: Extensive management of viewer interactions, offering customizable social media experiences tailored to personal preferences and privacy settings.
• Robust Media Handling: Supports a wide array of photo and video formats with easy uploads, edits, and sharing functionalities.
• Interactive Interface: Designed for seamless navigation and dynamic user interactions, enhancing community engagement.
• Advanced Comment Management: Enables users to moderate comments, apply interaction filters, and highlight top contributions.

Technology Stack

• Back-end Development: Robust server-side logic with Node.js to handle complex user interactions and data management.
• Front-end Excellence: Modern web technologies for a responsive and accessible interface, ensuring a seamless experience across devices.
• Security Measures: Integrated advanced security protocols to safeguard user data and interactions.

The primary aim of Casa App is to revolutionize user interaction with social media by providing a platform that not only allows for content sharing but also gives users unprecedented control over their online presence and community interactions.

Imlaak, Real Estate Consultancy & Asset Management

Imlaak reinvents the real estate landscape with its state-of-the-art consultancy and asset management platform, poised as Pakistan's premier digital real estate service. This platform offers a comprehensive suite of tools designed to streamline property management, enhance investment returns, and provide expert real estate advice.

Key Features and Functionalities:

• Landlord Portal: The platform includes a dedicated landlord portal that allows property owners to automate the management of rental properties. It simplifies income and expense tracking, making financial management faster, easier, and more accurate.
• Expert Real Estate Consultancy: Imlaak offers specialized consultancy services, providing expert advice to help clients navigate the complexities of real estate investments. The platform facilitates informed decision-making through detailed analytics and market insights.
• Multi-device Compatibility: Designed with a focus on user experience, the portal is accessible on multiple devices including desktops, tablets, and smartphones, ensuring a seamless interface that keeps all property-related information at the fingertips of its users.
• Integrated Asset Management: The system features robust asset management tools that include real-time occupancy tracking, property portfolio management, and performance dashboards that display critical data such as net gain, ROI, and more.
• Dynamic Real Estate Projects Section: Imlaak also provides a dynamic view of various real estate projects, offering users detailed insights into property files, plots, and upcoming opportunities for investment.

Mission and Vision:

With a mission to be the most trusted name in real estate, Imlaak continuously strives to provide superior investment solutions. The platform is designed to offer better returns today than yesterday, guiding users through a future of prosperous real estate investing.

By delivering an all-encompassing digital experience, Imlaak stands out as a leader in real estate consultancy and asset management, catering to both seasoned investors and new entrants in the real estate market. This innovative portal is not only a tool but a game-changer in how real estate investments are managed and grown.

Rent Potential

Rent Potential introduces a pioneering Real Estate Investment Calculator designed to transform the way investors analyze and engage with property investments. This innovative platform streamlines the process of evaluating potential rental properties through comprehensive financial metrics and easy-to-understand interfaces.

Key Features and Functionalities:

• Interactive Investment Calculator:
  • Registration and Access: Users can easily register for free, gaining immediate access to advanced investment analysis tools.
  • Comprehensive Metrics: The calculator processes essential real estate investment metrics such as Debt Service Coverage Ratio (DSCR), Capitalization Rate (Cap Rate), Net Present Value (NPV), and more.
  • Customizable Inputs: Investors can enter specific data points including rental income, operating expenses, and financing details to receive tailored investment insights.
• Address-Based Search Functionality:
  • Step-by-Step Process: The platform guides users through a detailed, step-by-step process to input property details by address, ensuring a focused and accurate analysis.
  • Data Integration: Utilizes real-time data from multiple sources to provide the most accurate financial analysis possible.
• Analysis and Reporting:
  • Detailed Property Analysis: Offers in-depth insights into potential investments, including expected rental income, initial investment requirements, and break-even analysis.
  • PDF Report Generation: Users can generate detailed PDF reports with market data derived from county clerk offices across the U.S., ideal for sharing with investors or lenders.

• User-Friendly Interface:
  • Sleek Design: Features a clean, intuitive design that facilitates ease of use while providing powerful analytical tools.
  • Multi-Platform Accessibility: Accessible on various devices, ensuring that users can manage their investment analysis on-the-go.

Mission and Vision:

Rent Potential is dedicated to enhancing the real estate investment process by providing powerful, precise, and accessible tools. The platform aims to empower investors with the knowledge and resources needed to make informed decisions, maximizing their investment potential and contributing to a more transparent real estate market.

By delivering advanced features through a user-friendly interface, Rent Potential stands as an essential tool for real estate investors, redefining how investment opportunities are evaluated and pursued in the market.

Mr. Home Garage Door POS System

Project Overview: For Mr. Home Garage Door, a leading provider of residential and commercial garage door services, I developed a comprehensive Point of Sale (POS) system tailored to enhance operational efficiency and customer service. This bespoke system integrates seamlessly with their existing service structure, offering intuitive management of transactions, inventory, and customer interactions.

Key Features:

• Transaction Management:
  • Facilitates smooth processing of sales transactions.
  • Automatically updates inventory levels in real time.
  • Generates invoices and receipts for customers.
• Customer Management:
  • Stores and retrieves customer data, including contact information and purchase history.
  • Enables personalized service and marketing strategies.
• Service Scheduling and Management:
  • Integrates a scheduling system for appointments and service calls.
  • Allows for tracking of ongoing jobs and dispatching of technicians.
• Inventory Control:
  • Maintains detailed records of parts and supplies.
  • Alerts staff when inventory levels are low and assists in reordering.
• Reporting and Analytics:
  • Provides comprehensive reports on sales, expenses, and profits.
  • Offers insights into customer preferences and service efficiency.

Technological Stack:

The system was developed using modern software development tools and frameworks to ensure reliability, scalability, and ease of use. This includes a robust database management system for secure data handling and a user-friendly interface designed for quick learning and adoption by staff.

Impact:

The deployment of the POS system at Mr. Home Garage Door has markedly improved the speed and accuracy of service delivery. It has enhanced customer satisfaction through faster transaction processing and better service scheduling, and has provided the management team with critical business insights to inform decision-making.

By streamlining operations and offering detailed analytics, the POS system supports Mr. Home Garage Door in maintaining its commitment to high-quality service and customer satisfaction. This project showcases my capability to develop and implement tailored software solutions that address specific business needs and drive operational improvements.

Auto Billing System

Project Overview: The Auto Billing System is an advanced software solution I developed in Python designed to automate the billing process for utilities. The system captures input from barcodes using the keyboard input simulation and manages transaction execution through a series of automated steps. This automation facilitates a seamless and efficient bill payment process, reducing manual data entry and minimizing errors.

Key Features:

• Input Capture:
  • Automatically captures barcode data that includes the consumer number, billing amount, and due date as keyboard inputs.
  • Stores captured data in variables for further processing.
• Automated Bill Retrieval and Payment:
  • Utilizes the keyboard input library to enter consumer details into the corresponding fields on the utility provider's website.
  • Navigates the user interface by moving the mouse cursor programmatically to click the 'Show Bill' button.
  • After bill details appear, the system captures a screenshot to verify bill details using OCR technology.
  • If the bill details match the expected amounts, it proceeds to automate the bill payment process.
• Screen Capturing and OCR:
  • Captures specific areas of the screen where the bill amount is displayed using specified width and height parameters.
  • Applies Optical Character Recognition (OCR) to read and validate the bill amount from the screenshot.
• Process Automation:
  • Automatically clicks on the 'Pay Bill' button if the OCR validation is successful.
  • Monitors the payment process, takes a screenshot upon completion, and navigates back to initiate another transaction or end the session.

Technical Implementation:

• Python: Utilized for scripting the automation.
• OCR Technology: Integrated to accurately extract text from screenshots.
• GUI Automation Libraries: Employed to simulate mouse movements and keyboard inputs.

Impact and Benefits:

The implementation of the Auto Billing System has significantly enhanced operational efficiency by automating routine tasks. It reduces the labor and time associated with manual bill payments and minimizes the likelihood of human error. The system is particularly beneficial for businesses handling large volumes of transactions, ensuring accuracy and reliability in bill payments.

This project showcases my ability to integrate various technologies to solve practical problems, demonstrating a strong understanding of both software development and process automation.

Subtitle Generation and Translation Tool

Project Overview: Developed a comprehensive platform designed to enhance video accessibility by generating and translating subtitles into multiple languages. This system integrates with Vimeo and YouTube through OAuth and provides the capability to directly burn subtitles onto local videos, catering to a diverse global audience.

Key Features:

• Subtitle Generation: Uses advanced algorithms to generate subtitles automatically, reducing the need for manual transcription.
• Multi-Language Support: Offers translation services for subtitles in numerous languages, expanding global reach.
• Integration with Vimeo and YouTube: Seamlessly uploads videos and subtitles directly to user accounts on Vimeo and YouTube via OAuth authentication.
• Local Video Processing: Ability to burn subtitles directly onto local videos without the need for additional software.
• User Interface: Simplified workflow interface that allows users to upload videos, select languages for translation, and manage their content efficiently.

Technical Details:

Languages Used: HTML, CSS for front-end; Python for back-end processes.

APIs and Libraries: OAuth for secure authentication, various libraries for subtitle processing and video handling.

Impact:

This platform significantly simplifies the process of making video content accessible to international audiences, helping creators and businesses increase their viewership and engagement across the globe. It also provides tools for users to manage their videos and translations effectively, making it a valuable asset for content creators focused on accessibility and global reach.

Translator (Text, Document [docx,excel,pdf,pptx], Image, Website)

Developed an advanced translation suite capable of handling text, documents (DOCX, PDF, Excel, PPTs), images, and website translations. This system leverages cutting-edge technology from OpenAI's GPT-4, AWS, Google Cloud, and Microsoft services to deliver high-accuracy language processing. The integration of Stripe for payment processing underlines the commercial readiness of the project.

OpenAI ChatGPT Voice Assistant

Developed a voice-activated AI assistant utilizing OpenAI's ChatGPT for conversational responses, integrated with Google Cloud's speech-to-text and text-to-speech services to enable hands-free operation. This application was built using the MERN stack, emphasizing a robust backend with MongoDB, Express.js, and Node.js, while React was used to create a responsive front-end user experience. The system leverages advanced AI and machine learning to provide intuitive and context-aware interactions, making it a standout addition to any digital environment seeking to enhance user engagement through voice technology.

• Technologies Used: MongoDB, Express.js, React, Node.js, OpenAI's ChatGPT, Google Cloud's Speech-to-Text and Text-to-Speech APIs.
• Features: Real-time voice command recognition and processing, dynamic responses, seamless integration of speech services, and a user-friendly interface.
• Outcome: A highly interactive tool that improves accessibility and convenience, offering a seamless hands-free user experience in various applications.

Brightcove Live Stream Translated Captions via Wowza Stream Engine

Developed a comprehensive system that enhances the accessibility and reach of live streaming content by embedding real-time translated captions. This solution involves capturing an RTMP stream from Brightcove, processing live captions through AWS Transcribe to generate accurate textual representations of the audio, and then translating these captions into multiple languages using the Google Translate API. The translated captions are formatted into the CEA-608 standard and merged with the original RTMP stream using the Wowza Streaming Engine. This enriched stream is then redistributed to Brightcove, ensuring a seamless viewing experience for a global audience with accessible multilingual captions.

Zoom Meeting Live Caption Translation System

This innovative system enhances the accessibility of Zoom meetings by providing real-time subtitle generation and translation. Utilizing AWS Transcribe for voice recognition and AWS Translate for multilingual support, it automatically generates and translates subtitles live, directly on the user's screen.

Key Features

• Automatic detection and transcription of spoken language in real-time.
• Dynamic translation of subtitles into multiple languages, supporting global accessibility.
• Seamless integration with Zoom via RTMP streaming, ensuring a user-friendly experience for meeting hosts and participants.
• Customizable subtitle settings to meet diverse accessibility needs.

How It Works

1. Configure your Zoom account for streaming by enabling the necessary permissions and obtaining an API token for caption integration.
2. Start a Zoom meeting and select the live custom streaming service with your designated streaming URL and key.
3. Our system captures the audio stream and utilizes AWS Transcribe to convert speech to text, then employs AWS Translate to render the transcription into the selected languages.
4. The translated subtitles are instantly displayed on the meeting screen, facilitating comprehension and engagement for participants from diverse linguistic backgrounds.

Prerequisites

• A Zoom Pro account with hosting privileges.
• API access for AWS Transcribe and AWS Translate services.

With this system, users can enjoy more inclusive and accessible communication in Zoom meetings, regardless of their native language or hearing ability.

ERP System (SPRINTX)

As a pivotal developer in the creation of the SPRINTX ERP system, I contributed to designing and implementing a robust platform that enhances operational efficiencies through comprehensive features such as attendance tracking, employee management, and customizable settings. This project, built using the MERN stack, demonstrates my proficiency in developing scalable enterprise solutions that cater to complex business needs.

Project Overview

The SPRINTX ERP system is an end-to-end solution designed to streamline organizational processes by providing critical tools for managing day-to-day operations. Key features include:

• Real-time attendance tracking that supports automated reporting and analysis.
• Comprehensive employee management functionalities that facilitate HR processes including hiring, role assignment, and performance evaluations.
• Advanced settings configuration module allowing for high customization to meet specific operational requirements.

Role and Responsibilities

My role in the SPRINTX project encompassed several key areas:

• Leading the backend development to ensure robust data handling and application logic.
• Integrating frontend components with server-side logic to create a seamless user experience.
• Implementing security protocols to protect data and maintain high levels of system integrity.
• Collaborating closely with a team of developers and stakeholders to meet project deadlines and requirements.

This project highlights my technical skills in a real-world application, showcasing my ability to deliver complex systems that drive business innovation and efficiency.

Political Pixel - Campaign Ad Tracking System

As a pivotal developer in the creation of the SPRINTX political-pixel system, I contributed to designing and implementing a robust platform that enhances operational efficiencies through comprehensive features such as attendance tracking, employee management, and customizable settings. This project, built using the MERN stack, demonstrates my proficiency in developing scalable entpolitical-pixelrise solutions that cater to complex business needs.

System Overview

1. Political Pixel initiates by targeting specific APIs of major advertising platforms to gather data on political ads.
2. The data is processed in real-time using AWS Lambda for efficient, serverless computing, reducing operational costs and scaling automatically with demand.
3. Messages and data payloads are managed through AWS SQS, ensuring reliable and secure communication across services.
4. The processed data is stored in MongoDB, which provides a flexible schema to accommodate the diverse formats of campaign data.
5. Insights and analytics are rendered on a dynamic frontend built with React, offering interactive visualizations and real-time data updates.

Technical Stack

• MongoDB: NoSQL database for flexible data storage.
• Express.js: Backend framework running on Node.js.
• React: Frontend library for building interactive UIs.
• Node.js: JavaScript runtime for the backend server.
• AWS Lambda, SQS: Scalable cloud services for handling data processing and messaging.

This system is designed to provide political analysts, campaign managers, and political enthusiasts with deep insights into the advertising strategies used across major digital platforms.

Political Pixel - Campaign Ad Tracking System

Welcome to the Smart Vet Consult, your comprehensive platform for managing pet care, beauty, and health.

The Animal Management System (AMS) is a state-of-the-art tool designed using the MERN stack (MongoDB, Express.js, React.js, and Node.js) to streamline the management of pet services. AMS offers modules for animal care, beauty treatments, and health management to ensure your pets are happy and healthy.

Features

• Animal Care: Comprehensive tools to monitor and manage the general care of pets.
• Beauty Treatments: Schedule and track grooming and other beauty services.
• Health Management: Keep detailed records of your pets' health, including vaccinations, vet visits, and medical treatments.

User Dashboard

The user-friendly dashboard provides quick access to all features. You can view recent bookings, manage your pets, and track invoices with ease. Here’s a quick look at what our dashboard offers:

• My Animals: This tab allows you to view and manage all your registered animals, including their names, breeds, and medical records.
• Bookings: Easy scheduling and tracking of appointments for your pets.
• Invoices: Financial management is simplified with a robust invoicing system that tracks payments and outstanding balances.

Point of Sale System

Project Overview

This project presents a Point of Sale (POS) system designed to manage sales transactions, inventory, and reporting efficiently. Developed as a minimal viable product, it incorporates a user-friendly interface designed using Java Swing.

Features

• Login System: Secure access with user authentication.
• Inventory Management: Add, update, and delete product categories, brands, and products.
• Sales Processing: Facilitates the processing of sales transactions at point of sale.
• User Management: Manage cashier accounts including creation, updates, and deletion.
• Reporting: Ability to generate sales and inventory reports.

Technical Details

The application is developed in Java, utilizing the Swing framework for rendering the graphical user interface. It includes functionalities for managing user authentication, product inventory, sales transactions, and report generation.

LESCO Bill Scraper

The LESCO Bill Scraper is a sophisticated automation tool designed to streamline the management of utility bills and payment verifications for the Lahore Electric Supply Company (LESCO). This tool efficiently extracts consumer numbers from bulk PDF files, enabling automatic checks against bill payments on the LESCO website.

By integrating this system, businesses can significantly enhance their operational efficiency, reducing the time and effort spent on manual data entry and verification. The automation not only ensures accuracy but also speeds up the process, allowing for more timely and reliable bill management.

COVID Card Generator

Project Overview

The COVID-19 Immunization Card Generator is a web-based application designed to enhance the usability of COVID-19 vaccination certificates. It automates the conversion of standard government-issued immunization PDF documents into a convenient, double-sided card format. This format is more portable and user-friendly, making it easier for individuals to carry proof of vaccination in their wallets, similar to a traditional ID card.

Technical Description

The application is structured as a full-stack web solution with a front-end designed in HTML and CSS, providing a clean and intuitive user interface. Users can upload their digital vaccination certificate, which the back-end processes to extract relevant data and reformat it into a double-sided card layout.

Back-end Implementation

The back-end is built using Python, utilizing Flask as the web framework to handle requests and responses. Image processing is managed with PIL (Python Imaging Library), allowing for dynamic manipulation of PDF contents to fit the specified card dimensions. Final card output is generated using the PyPDF2 library, ensuring the new format is saved and can be downloaded as a PDF for printing.

Key Features

• File Upload Interface: Simple drag-and-drop and file selection interface for uploading the vaccination PDF.
• Automatic Resizing: Converts full-page documents into a compact card format that adheres to standard wallet sizes.
• Data Security: Implements standard security measures to ensure that user data is handled securely, with all uploaded documents being processed in-memory and not stored on the server.
• High Compatibility: Supports various document layouts from different government sources, adjusting text and element positions automatically.

Technologies Used

• Front-End: HTML5, CSS3
• Back-End: Python, Flask
• Libraries: PIL for image processing, PyPDF2 for PDF manipulation

Project Impact

This project addresses a practical need by making COVID-19 vaccination records more accessible and easier to carry. It also showcases innovative use of PDF manipulation and custom card formatting, demonstrating advanced programming capabilities and design thinking.

Transaction Record System

Project Overview

The Transaction Record System is a streamlined client-based web application designed to facilitate and monitor money transactions between users. It offers a straightforward interface where transactions can be added, reviewed, and confirmed as received. This tool is especially useful for businesses or individuals who frequently handle transfers and need a reliable way to track the status of each payment.

Functionality

Users can input transaction details including the sender's and receiver's phone numbers, the amount transferred, and the time of the transaction. This data is then dynamically added to a transaction table visible on the same page, which serves both as an input form and a ledger.

Key Features

• Data Input: Users can easily enter details of money transfers, including sender and receiver numbers, the amount, and the timestamp.
• Real-time Tracking: Transactions are immediately listed in an on-page table, allowing users to see all entries at a glance.
• Status Update: Each entry has an associated 'Confirm' button. Once clicked, it marks the transaction as 'Received'. This action is designed to be irreversible, which helps in maintaining the integrity of the transaction history.
• Local Storage: The application uses local storage to save transaction data, ensuring that the data persists even when the browser is refreshed or reopened, without the need for a backend database.

Technologies Used

• Front-End: HTML5, CSS3 for layout and design, JavaScript for functional interactivity.
• Storage: Utilizes browser's local storage to keep track of data without needing a server.

Project Impact

This application simplifies the process of tracking multiple transactions in real-time, enhancing efficiency and reliability in financial management. It's an invaluable tool for small to medium enterprises or individual entrepreneurs who require a dependable method to monitor and confirm money transfers without complex infrastructure.

HEIC to JPG Converter

Project Overview

This HEIC to JPG Converter is a web-based application that seamlessly transforms HEIC images into universally compatible JPG files. The application is designed to offer a quick, user-friendly solution for converting HEIC images, accommodating the needs of users across various platforms including Mac, Windows, and online environments.

Technical Description

The converter is built using the MERN stack, integrating MongoDB, Express.js, React.js, and Node.js to create a robust and scalable application. This setup allows for efficient handling of file uploads, conversion processes, and storage management, ensuring high performance and reliability.

Key Features

• Simple Interface: The application features a minimalistic and intuitive interface, ensuring ease of use for all users.
• Fast Conversion: Utilizes efficient algorithms and server-side processing for quick conversion of HEIC files to JPG.
• Accessibility: Designed to be accessible on multiple devices and platforms, providing flexibility for users.
• Secure Processing: Implements standard security measures to ensure that user data is protected during the upload and conversion process.

Technologies Used

• MongoDB: For efficient data management and storage.
• Express.js: Handles server-side logic and routing.
• React.js: Powers the frontend, creating a dynamic and responsive user experience.
• Node.js: Manages server-side operations, making the application scalable and fast.

Project Impact

The HEIC to JPG Converter fills a crucial need for users looking to convert images to a more usable format. It showcases advanced programming techniques and a thorough understanding of full-stack development using the MERN stack.

TikTok Video Download Application

Project Overview

This TikTok Video Download App is a specialized web-based tool designed for downloading videos from TikTok without the need for any software installation. The app provides users with the ability to quickly save their favorite TikTok videos directly to their devices, supporting a range of formats and resolutions.

Technical Description

Developed using the MERN stack, this app leverages MongoDB, Express.js, React.js, and Node.js to offer a high-performance and scalable solution for video downloads. It handles video data efficiently, ensuring that users can download videos with minimal latency.

Key Features

• Simple Interface: Provides an easy-to-use interface where users can download videos by pasting the TikTok video URL.
• Multiple Formats: Supports downloading in various video formats and resolutions to accommodate different user preferences and device capabilities.
• High Performance: Optimized backend processes ensure fast download speeds and reliable performance.
• Scalability: Built to handle a high volume of simultaneous users and downloads without performance degradation.

Technologies Used

• MongoDB: Manages video download data and user statistics.
• Express.js: Streamlines server-side logic and request handling.
• React.js: Creates a dynamic and responsive frontend.
• Node.js: Supports backend operations, enhancing the app’s overall efficiency.

Project Impact

The TikTok Video Download App addresses the growing demand for accessible digital content tools, providing a valuable service for TikTok users and content creators. It demonstrates advanced full-stack development skills with a focus on real-time data processing and user experience optimization.