Hi, I'm Sufiyan
Introduction
Overview.
I'm a final year Computer Science student specializing in Artificial Intelligence and Data Science. I excel as a Full Stack Machine Learning Developer, proficient in building, deploying, and maintaining end-to-end machine learning solutions. My expertise extends to Flutter for cross-platform mobile development and Cloud technologies for scalable deployments. I've completed diverse projects in both academic and freelance settings, focusing on practical applications of Machine Learning.
Machine Learning Developer
Flutter Developer
Cloud Engineer
Backend Developer
Technologies Stack
Including programming languages, frameworks, libraries, databases, front-end and back-end tools, and APIs.
HTML
CSS
JavaScript
React
Tailwind CSS
Flutter
Java
Python
C++
Flask
Tensorflow
PyTorch
Scikit-Learn
MySQL
Firebase
Cloud Computing
Git / Github
Docker
Geeksforgeeks
Leetcode
My work
Projects.
Following projects showcase my skills and experience through real-world examples of my work. Each project is briefly described with links to code repositories and live demos in it. It reflects my ability to solve complex problems, work with different technologies, and manage projects effectively.
MediConnect
MediConnect is an AI-powered healthcare platform designed to enhance doctor-patient interactions and provide instant medical assistance. The platform streamlines patient management, offers real-time consultations, and integrates AI-driven insights for better healthcare accessibility. Key features include an AI-powered medical assistant, seamless doctor consultations via WebRTC, smart appointment scheduling, automated medical record management, and an AI chatbot for pre-screening cases.
#React.js
#Node.js, Express.js & MongoDB
#LangChain, Python & Gemini AI API
#WebRTC & Twilio
#Firebase
Kalakendra
KalaKendra is a comprehensive e-commerce platform designed specifically for artisans to showcase their unique creations. The platform facilitates secure and seamless interactions between artisans and customers, ensuring streamlined product listing, payments, and customer support. Including feautures like Artisan Profiles, Online Marketplace, Secure Payment Gateway, Automatic Field Filling, AI Chatbot, Personalized Dashboard, WhatsApp Marketing, Recommendation System, Exhibitions & Trade Fairs.
#React.js
#Node.js, Express.js & MongoDB
#Google Vertex AI, Dialogflow
DocQ
Introducing DocQ-DocSummariser an advanced AI-powered application designed to extract, summarize, and interact with text from images, PDFs, and YouTube videos. Leveraging cutting-edge OCR, NLP, and conversational AI technologies, this tool offers comprehensive text processing and interactive capabilities, making it an invaluable resource for students, researchers, and professionals.
#AI-ML
#HTML, CSS
#Langchain, Tesseract, FAISS
PneumoCare
Pneumonia Detection and Prediction System is a web application that allows users to upload chest X-ray images and blood report and get predictions on whether the patient has pneumonia or not.Along with chatbot feature that can help you to get information about pneumonia and its treatment
#AI-ML
#HTML, CSS
#JS
Movie Recommendation + Sentiment Analysis System
Movie Recommendation + Sentiment Analysis System is a web application that allows users to search for movies and get recommendations based on their preferences. It also provides sentiment analysis of the reviews.
#AI-ML
#HTML, CSS
#JS
Arcade Leaderboard System Development
Engineered a comprehensive Arcade Leaderboard system leveraging JavaScript for client-side logic and CSV for data handling. Implemented a multi-faceted sorting algorithm to compute a composite score, incorporating metrics from skill badges, arcade game completions, and trivia game performances. Utilized advanced data parsing techniques, including regex for CSV extraction and dynamic DOM manipulation for real-time leaderboard updates. Integrated responsive web design principles and asynchronous data fetching to ensure seamless user interactions and up-to-date leaderboard displays.
#JavaScript
#CSV Data Handling
#Responsive Design
Arcade Points Counter
Engineered a Flask-based web application with Tailwind CSS and JavaScript, leveraging Beautiful Soup for web scraping and JSON for dynamic data management. Implemented server-side logic for automated point calculation and milestone tracking, utilizing responsive design principles for cross-device compatibility. Deployed the application on Vercel with CI/CD pipelines for continuous integration and seamless updates.
#Flask
#Tailwind CSS
#JavaScript
#Beautiful Soup
#JSON
#Vercel
ChaCha.AI
ChaCha.AI is a AI platform where user can chat and genrate image also voice to text and text to voice features are available
#Flutter
#restapi
#MaterialUI
Leaf Health Analysis
Leaf health analysis is a Machine learning Flutter application that allows users to upload images of plant leaves and receive a health analysis report based on the image.
#Tensorflow
#Flutter
#ML
What I have done so far
My Journey
Winner - State-Level Hackathon
FCRIT Vashi
- Developed an AI-driven solution that won the Hackquenox State-Level Hackathon.
- Collaborated with a cross-functional team to prototype and present the solution ElevateX.
- Utilized machine learning, cloud computing, and full-stack development to build ElevateX.
- Competed against top teams across the state and secured 1st place.
Google Cloud Arcade Facilitator
Google Cloud
- Guided participants in completing Google Cloud skill badges, trivia, and arcade challenges.
- Managed a community of learners, solving queries and providing resources.
- Organized interactive sessions and workshops on cloud technologies.
- Earned Google Cloud rewards and recognition for contributions.