Hi I'm, Mirza Aman 👋
I've been working independently for 5 years, learning and freelancing instead of being employed by a company. During this time, I've honed my skills in web development and Android app creation. I excel at problem-solving and continuously learning new technologies, blending creativity with logical thinking.
About
For 5 years, I've developed a strong foundation in web development and Android app creation. As a self-taught freelancer, I've gained valuable experience and expertise in delivering high-quality solutions for various clients. My journey is defined by creativity, dedication, and a commitment to lifelong learning.
Skills
My Projects
I've built a wide range of projects, from simple websites to complex web and mobile apps. Here are some of my standout projects:
CGPA Calculator Android App
Developed and published a CGPA Calculator on the Google Play Store, enabling students to calculate their grades efficiently.
Online Learning Platform
Created an online platform for beginner coding, endorsed by Former Minister Ahmed Deverkovil, to provide interactive learning experiences.
Remote Sensing Satellite & GIS Analysis Tool
Developed a tool that analyzes satellite data for GIS applications, endorsed by ISRO Scientist Dr. Abdul Salam.
Attendace management system
The attendance system for 'Kunnamangalam Govt Higher Secondary School' lets teachers manage profiles, create classes, and add students with full details. They mark absentees by period, and the list is sent to the class teacher's WhatsApp. An attendance chart allows toggling by date and period to view or edit attendance, ensuring accurate tracking.
Car washing agency app
The car washing agency app for the UAE enables employees to log in using their employee ID and efficiently manage car washing tasks. Employees can enter a new car's plate number and select the car type, such as SUV or sedan. Once submitted, the data is seamlessly stored in Firebase and automatically updated in Google Sheets, ensuring accurate record-keeping and streamlined operations.
AI-powered chatbot
Developed an AI-powered chatbot using OpenAI's GPT-3 and LangChain to enhance website interactions. This chatbot efficiently handles customer inquiries, providing personalized responses and assisting with navigation. Features include natural language processing, customizable dialog flow, and multi-channel integration. An analytics dashboard tracks user interactions, offering insights for continuous improvement, showcasing my expertise in AI and user experience enhancement.
E - commerce Web App
Developed a fully functional e-commerce mobile app using React Native and Firebase. The app features product listings, cart management, and secure payment integration, providing a seamless shopping experience. User authentication ensures personalized access, while real-time inventory updates enhance user engagement. This project showcases my ability to create intuitive, high-performance applications that meet the demands of modern e-commerce.
Weather forecast web app
Created a real-time weather forecast web app using React.js and Node.js. The app provides users with up-to-date weather updates, interactive maps, and detailed forecasts based on their location. Leveraging APIs for data retrieval, it offers features like hourly and daily forecasts, alerts for severe weather, and a user-friendly interface. This project highlights my skills in building responsive, data-driven applications that enhance user experience through real-time information.
AI-Based Image Classification Tool
Developed an AI-based image classification tool using TensorFlow that accurately identifies objects in images. This tool is designed for industries like agriculture and healthcare, enabling users to analyze and categorize visual data efficiently. It features a user-friendly interface for uploading images, instant results display, and the ability to train on custom datasets. This project showcases my expertise in machine learning and application development for practical, real-world solutions.
Expense Management Web App
Developed an expense management web app using React and Node.js that helps users track their income and expenses. The app allows users to categorize expenditures, set budgets, and visualize spending through dynamic charts and graphs. With features like user authentication and real-time updates, it ensures secure and personalized financial management. This project highlights my skills in creating user-centric applications that promote financial awareness and planning.
Personalized Learning Assistant
Develop an AI-driven platform that offers customized learning experiences for users. Using GPT-3, the assistant adapts educational content based on individual learning styles, performance, and preferences. LangChain manages the dynamic generation of study materials, quizzes, and practice exercises. The assistant can track progress, suggest topics, and provide explanations, making it ideal for students seeking tailored guidance. This project demonstrates expertise in AI, NLP, and personalized content delivery, enhancing user engagement in educational journeys.
Expense Management Web App
Create an AI-powered tool that extracts, summarizes, and analyzes key information from documents such as PDFs, Word files, or scanned images. Using GPT-3, the tool provides concise summaries, identifies critical insights, and answers user-specific queries about the document. LangChain manages complex workflows, allowing for efficient data extraction, customized summarization, and interaction with the document's content. This project showcases advanced NLP capabilities and demonstrates practical AI applications for businesses and researchers, enhancing productivity and data comprehension.
Black and White Photo to Color Photo AI
Developed an AI model that converts black-and-white photos into vibrant, realistic color images. Utilizing a Convolutional Neural Network (CNN) trained on large datasets, the model learns to predict and apply colors based on the grayscale input. The project employs advanced architectures like U-Net or GANs (Generative Adversarial Networks) to achieve high-quality colorization. Users can upload black-and-white images, and the AI generates colorized versions in seconds. This project demonstrates expertise in computer vision, deep learning, and image processing, providing a visually impressive AI application.