Muhammad Soban Rasheed

GreenLight

MERN Stack Developer

• Designed and implemented full-stack web applications using the MERN stack (MongoDB, Express.js, React, Node.js) to deliver scalable and high-performance solutions for client projects.
• Developed and maintained RESTful APIs endpoints to support seamless data exchange between frontend and backend systems, enhancing application performance and user experience.
• Utilized MongoDB to manage and optimize database schemas for efficient data storage and retrieval, handling large datasets with high reliability.
• Collaborated with cross-functional teams to translate business requirements into technical specifications, ensuring alignment and successful project delivery.
• Integrated third-party services and APIs to extend application functionality, including payment gateways, authentication services, and external data sources.
• Implemented responsive and interactive user interfaces using React and Material-UI, providing users with a modern and intuitive experience.

Essay Shark

Freelance MERN Stack Developer, React Native Developer, and Flask Developer

• Developed and maintained full-stack web applications using the MERN stack (MongoDB, Express.js, React, Node.js), ensuring high performance and scalability for client projects.
• Built and deployed cross-platform mobile applications using React Native, delivering intuitive and responsive user experiences for iOS and Android platforms.
• Designed and implemented RESTful APIs and backend services using Flask, enabling seamless communication between frontend and backend systems.
• Collaborated with clients to gather requirements, provide technical guidance, and deliver tailored solutions that met their business needs and objectives.
• Optimized database schemas and queries in MongoDB to handle large datasets efficiently, ensuring fast data retrieval and reliable performance.
• Integrated third-party services and APIs to extend application functionality, including payment gateways, authentication services, and external data sources.
• Implemented responsive and interactive user interfaces using React and Material-UI, providing users with modern and intuitive experiences.

WhatsApp Web Clone

MERN Stack, Google Authentication, Socket.io, WebRTC Jun 5, 2023

• Developed a WhatsApp Web clone using the MERN stack (MongoDB, Express.js, React, Node.js), enabling seamless real-time communication and a rich user experience.
• Implemented Google Authentication for secure and convenient user login, ensuring robust access control and user management.
• Integrated real-time one-to-one chat functionality using Socket.io, allowing users to exchange messages instantly and reliably.
• Added features for sending documents and making video calls using WebRTC, enhancing communication capabilities and user engagement.
• Designed and developed a stunning and responsive user interface using React and Material-UI, providing a modern and intuitive user experience.
• Ensured data consistency and reliability by optimizing MongoDB schemas and queries, handling large volumes of chat data efficiently.
• Conducted comprehensive testing and debugging to ensure the application's performance, scalability, and security, delivering a high-quality product.

PictaScript

React, styled-components, axios, react-easy-crop, Flask Jul 16 , 2024

• Developed an innovative image captioning application that allows users to upload images or provide an image URL to receive descriptive captions.
• Implemented advanced algorithms to analyze images and generate accurate and meaningful captions, providing users with insightful descriptions.
• Built the frontend using React, styled-components, axios, and react-easy-crop, ensuring a seamless and intuitive user experience.
• Integrated Flask for the backend to handle image processing and caption generation efficiently.
• Enabled image upload from local devices and online URLs, offering flexibility and convenience for users.
• Included an optional image cropping feature, allowing users to adjust the size and portion of the image before generating captions.
• Displayed all uploaded images and their generated captions in a gallery format, providing an organized and visually appealing interface.
• Ensured the app is responsive, delivering a consistent experience across both desktop and mobile devices.

Health Care Application

MongoDB, Express, React, Node.js Aug 13, 2023

• Developed a comprehensive Health Care application with separate modules for patients and doctors, built using the MERN stack.
• Created a responsive web application with distinct login systems for patients and doctors, ensuring secure and role-specific access.
• Implemented patient features including viewing doctor schedules, booking appointments, tracking appointment history, and accessing medical records with detailed doctor recommendations.
• Designed doctor features to manage appointments, send cancellation notifications to patients, and maintain patient medical records efficiently.
• Ensured a visually appealing and user-friendly interface, enhancing the overall user experience for both patients and doctors.
• Followed Agile development principles, utilizing Git for version control and collaborative development.

SocializeHub Web Application

React, Vite, Supabase Nov 14, 2023

• Developed a complete social media application using React, Vite, and Supabase, enabling users to interact and share content seamlessly.
• Implemented user authentication, allowing users to securely log in and manage their accounts.
• Designed features for users to view, like, comment on, and share posts, fostering community engagement and interaction.
• Enabled users to upload and manage their posts, providing a platform for sharing multimedia content.
• Created a responsive and visually appealing user interface, ensuring a smooth user experience across various devices.
• Utilized Supabase for real-time data handling and storage, ensuring efficient and scalable backend services.

Player Profiler Rating Website

React, Vite, Node.js, MySQL, Prisma, Docker May 11, 2024

• Developed a comprehensive platform for rating players across various sports using React, Vite, Node.js, MySQL, Prisma, and Docker.
• Implemented an admin panel with secure authentication, allowing administrators to add, delete, and update player profiles seamlessly.
• Integrated Wikipedia API to enrich player profiles with additional data and enhance the search functionality.
• Designed a user dashboard where users can sign up, log in, and rate players from 1 to 10 in real-time, with sleek and engaging player cards providing quick insights.
• Enabled users to add custom content to player profiles, explore detailed profiles using Wikipedia API, and securely log out of the system.
• Ensured a dynamic and efficient system by utilizing Docker for containerization and Prisma for database management.

Socialbot Connect

React Native CLI, GPT API Sep 7, 2023

• Developed an Android app using React Native CLI and GPT API to serve as an ultimate content companion for social media users.
• Implemented personal chatbot text integration, allowing users to interact and generate dynamic summaries for their social media posts.
• Designed features to create targeted hashtags, enhancing the visibility and reach of users' content.
• Focused on a professional yet user-friendly interface to simplify content creation and elevate social media engagement.

Vehicle-s-Tellers

Machine Learning, Convolutional Neural Network, VGG16, OpenCV, Python Sep 27, 2023

• Developed a Convolutional Neural Network (CNN) model based on the VGG16 architecture for vehicle classification, specifically distinguishing between cars and bikes.
• Utilized OpenCV for image processing and data augmentation to enhance the training dataset and improve model performance.
• Trained the VGG16-based CNN model on a dataset of vehicle images, achieving high accuracy in classifying cars and bikes.
• Optimized the model to improve classification speed and accuracy, ensuring efficient real-time vehicle classification.
• Implemented an automated data storage system to log classification results for future reference and analysis.

SightlessGuide: Navigate, Detect, Read and Call-All by Voice

Final Year Project

Overview

SightlessGuide is a comprehensive Android application designed to enhance the independence and safety of visually impaired individuals. Leveraging advanced technologies like YOLO v8, ResNet50, and various voice recognition modules, the app provides real-time object detection, currency recognition, navigation, weather updates, and text scanning capabilities, all controlled through voice commands.

Features

• Real-time Object Detection
  Technology Used: YOLO v8
  Dataset: Open Image V7
  Functionality: Continuously captures images to identify and describe objects in real-time, providing auditory feedback to the user.
• Real-time Currency Detection
  Technology Used: ResNet50 model
  Functionality: Recognizes and describes different currency notes, providing details via voice.
• Real-time Navigation
  Functionality: Provides route guidance from source to destination based on voice input. The app automatically retrieves the user's current location when the navigation module is activated. Voice Control: Allows users to set destinations and receive real-time route guidance and alerts through voice commands.
• Weather Updates
  Functionality: Retrieves and analyzes current weather data based on the user's location, delivering weather reports and suggestions via voice.
• Text Scanner
  Functionality: Activated by double-tapping, this feature captures images of text, analyzes and extracts the text, then converts it to speech and reads it aloud.
• Emergency Contacts Registration
  Facilitators register emergency contacts during the initial registration process. Voice Calling: Users can call emergency contacts by name using voice commands.
• Voice Command Control Module Switching
  Users can switch between modules (object detection, navigation, weather, etc.) using voice commands. Automatic Location Retrieval: The app automatically retrieves the user's current location when the navigation module is activated.

Usage

• Registration: Facilitators assist users in registering by entering personal details and adding up to 4 emergency contacts. Confirm the registration and proceed to explore the app's features.
• Using Object Detection: Activate the object detection module through a voice command. The app will continuously capture images and describe detected objects via voice.
• Currency Detection: Activate the currency detection module by saying the relevant voice command. The app will capture and identify currency notes, providing descriptions through voice.
• Navigation: Activate the navigation module by voice. Set your destination using a voice command. The app will automatically fetch your current location, calculate the route, and provide guidance and alerts.
• Weather Updates: Activate the weather report module via voice. The app will retrieve current weather data, analyze it, and provide a verbal weather report with suggestions.
• Text Scanner: Double-tap to activate the text scanner. The app will capture an image of the text, analyze and extract the text, and read it aloud.
• Emergency Contacts: Register emergency contacts during the initial registration. Call emergency contacts by saying their name using a voice command.