I'm Sudais, a passionate AI student building real-world machine learning projects. I'm driven by curiosity and a mission to create tools that solve real problems
Portfolio

Creative Developer

Sudais Azlan

Crafting practical AI & ML models that make a difference.

About

I'm Sudais, a passionate student currently pursuing a degree in Artificial Intelligence. While I’m not yet working in the industry, I’m actively involved in building real-world AI and machine learning projects that challenge me to apply what I’m learning in meaningful ways. Driven by curiosity and a strong desire to make an impact, I spend my time exploring the latest advancements in AI — from deep learning and computer vision to large language models and data-driven applications. Every project I take on is a step toward my goal: becoming a skilled AI engineer capable of creating tools that solve real problems and improve lives. I'm not just studying AI — I'm building with it.

Hero Video
Hero Video

Work Experience

S

Scanzy
AI
Python

January 2024 - Present
AI Developer (Content & Plagiarism Detection)
Worked on AI-powered content and plagiarism detection using Python. Built machine learning models to identify AI-generated text and semantic similarity, using NLP techniques and scikit-learn. Focused on data preprocessing, model training, and evaluation to ensure high accuracy in content originality scoring.
D

DataNeuron
Python
Data Science
Internship

August 2023 - December 2023
Python Developer Intern
Worked on Python-based data processing scripts for automating dataset cleaning, transformation, and visualization. Assisted in building internal tools for exploratory data analysis (EDA) using pandas, matplotlib, and seaborn. Gained hands-on experience in scripting, debugging, and writing efficient, reusable Python code for small-scale data science workflows.
P

Price Predictor
Python
Machine Learning
Regression

June 2024 - Present
ML Engineer – Price Prediction Model
Built a regression-based ML model in Python to predict product prices based on features such as category, brand, and historical pricing. Used pandas, scikit-learn, and matplotlib for data cleaning, training, and visualization. Focused on improving accuracy through feature engineering and model evaluation.
E

Email Spam Classifier
Python
NLP
Classification

May 2024 - June 2024
ML Engineer – Email Spam Classifier
Developed a machine learning model in Python to classify emails as spam or not spam. Used natural language processing (NLP) for text vectorization and scikit-learn for model training. Implemented various classifiers (Naive Bayes, Logistic Regression) and optimized performance with cross-validation.

Education

G

Government Degree College No. 2, Mardan

2020 - 2022
FSc (Computer Science)
A

Abdul Wali Khan University Mardan

2022 - 2026
BSc in Artificial Intelligence

Skill

Python
TypeScript
Kotlin
Flask
Pandas
NumPy
Matplotlib
scikit-learn
Model Building
Classification
Regression
Prediction
Postgres
Amazon S3
Cloudinary
UploadThing
Render

What Users Are Saying

Hear from tools that have successfully listed on our platform

SynthGen AI

SynthGen AI

@synthgenai

Listing on EliteAI.tools gave us a 40% boost in signups! The quality of traffic is incredible - these are users who are actually looking for AI solutions. Worth every penny!

❤️ 143🔁 243:42 PM · Feb 12, 2025
NeuralScribe

NeuralScribe

@neuralscribe

Fast-tracking our listing was the best marketing decision we made. Went from zero to 500+ daily users in just two weeks! EliteAI.tools put us in front of the perfect audience.

❤️ 217🔁 5311:28 AM · Jan 29, 2025
QuantumWrite

QuantumWrite

@quantumwriteai

As a bootstrapped startup, we needed cost-effective promotion. The Boosted plan delivered incredible ROI - our demo requests increased 3x in the first month alone. Highly recommend!

❤️ 189🔁 424:15 PM · Feb 3, 2025
VoiceGenius

VoiceGenius

@voicegeniusai

The SEO boost from being listed on EliteAI.tools is incredible. We've climbed to the first page for several key search terms. The quality of traffic converts at nearly 2x our other channels.

❤️ 167🔁 362:10 PM · Jan 18, 2025
DataSage

DataSage

@datasageai

We tried several directories but EliteAI.tools stands out. The curation process means you're alongside other quality tools, which gives users confidence. Our conversions are up 35% from this traffic!

❤️ 201🔁 4710:23 AM · Feb 8, 2025
CopyMuse

CopyMuse

@copymuseai

Investors actually mentioned seeing us on EliteAI.tools during our seed round! The directory has become a go-to resource for the industry. Still getting consistent traffic 6 months after listing.

❤️ 175🔁 311:35 PM · Jan 22, 2025
Hackathons

I like building things

As an AI student at Abdul Wali Khan University, I’ve built projects in machine learning and NLP, contributed to open source, and attended over 20 national hackathons. Each one challenged me to solve real problems with creative tech — this gallery captures that journey.

  • H
    November 23rd - 25th, 2018

    Hack Western 5

    London, Ontario

    Developed a mobile application which delivered bedtime stories to children using augmented reality.
  • H
    September 14th - 16th, 2018

    Hack The North

    Waterloo, Ontario

    Developed a mobile application which delivers university campus wide evclsents in real time to all students.
  • F
    March 23rd - 24th, 2018

    FirstNet Public Safety Hackathon

    San Francisco, California

    Developed a mobile application which communcicates a victims medical data from inside an ambulance to doctors at hospital.
  • D
    February 3rd - 4th, 2018

    DeveloperWeek Hackathon

    San Francisco, California

    Developed a web application which aggregates social media data regarding cryptocurrencies and predicts future prices.
    Github
  • H
    January 20th - 21st, 2018

    HackDavis

    Davis, California

    Developed a mobile application which allocates a daily carbon emission allowance to users to move towards a sustainable environment.
    Devpost
    ML
    iOS
    Server
  • E
    October 13th - 15th, 2017

    ETH Waterloo

    Waterloo, Ontario

    Developed a blockchain application for doctors and pharmacists to perform trustless transactions and prevent overdosage in patients.
    Organization
  • H
    September 15th - 17th, 2017

    Hack The North

    Waterloo, Ontario

    Developed a virtual reality application allowing users to see themselves in third person.
    Streamer Source
    Client Source
  • H
    August 26th - 27th, 2017

    Hack The 6ix

    Toronto, Ontario

    Developed an open platform for people shipping items to same place to combine shipping costs and save money.
    Source
    Site
  • S
    July 23rd, 2017

    Stupid Hack Toronto

    Toronto, Ontario

    Developed a chrome extension which tracks which facebook profiles you have visited and immediately texts your girlfriend if you visited another girls page.
    Source
  • G
    June 23rd - 25th, 2017

    Global AI Hackathon - Toronto

    Toronto, Ontario

    Developed a python library which can be imported to any python game and change difficulty of the game based on real time emotion of player. Uses OpenCV and webcam for facial recognition, and a custom Machine Learning Model trained on a [Kaggle Emotion Dataset](https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/leaderboard) using [Tensorflow](https://www.tensorflow.org/Tensorflow) and [Keras](https://keras.io/). This project recieved 1st place prize at the Global AI Hackathon - Toronto and was also invited to demo at [NextAI Canada](https://www.nextcanada.com/next-ai).
    Article
    Source
  • M
    June 17th - 18th, 2017

    McGill AI for Social Innovation Hackathon

    Montreal, Quebec

    Developed realtime facial microexpression analyzer using AI
  • O
    June 10th, 2017

    Open Source Circular Economy Days Hackathon

    Toronto, Ontario

    Developed a custom admin interface for food waste startup <a href='http://genecis.co/'>Genecis</a> to manage their data and provide analytics.
    Source
  • M
    May 19th - 21st, 2017

    Make School's Student App Competition 2017

    International

    Improved PocketDoc and submitted to online competition
    Medium Article
    Devpost
    youtubeYouTube
    Source
  • H
    May 12th - 14th, 2017

    HackMining

    Toronto, Ontario

    Developed neural network to optimize a mining process
  • W
    May 5th - 7th, 2017

    Waterloo Equithon

    Waterloo, Ontario

    Developed Pocketdoc, an app in which you take a picture of a physical wound, and the app returns common solutions or cures to the injuries or diseases.
    Devpost
    youtubeYouTube
    Source
  • S
    April 28th - 30th, 2017

    SpaceApps Waterloo

    Waterloo, Ontario

    Developed Earthwatch, a web application which allows users in a plane to virtually see important points of interest about the world below them. They can even choose to fly away from their route and then fly back if they choose. Special thanks to CesiumJS for providing open source world and plane models.
    Source
  • M
    March 24th - 26th, 2017

    MHacks 9

    Ann Arbor, Michigan

    Developed Super Graphic Air Traffic, a VR website made to introduce people to the world of air traffic controlling. This project was built completely using THREE.js as well as a node backend server.
    Source
  • S
    March 4th - 5th, 2017

    StartHacks I

    Waterloo, Ontario

    Developed at StartHacks 2017, Recipic is a mobile app which allows you to take pictures of ingredients around your house, and it will recognize those ingredients using ClarifAI image recognition API and return possible recipes to make. Recipic recieved 1st place at the hackathon for best pitch and hack.
    Source (Mobile)
    Source (Server)
  • Q
    February 3rd - 5th, 2017

    QHacks II

    Kingston, Ontario

    Developed a mobile game which enables city-wide manhunt with random lobbies
    Source (Mobile)
    Source (API)
  • T
    November 26th, 2016

    Terrible Hacks V

    Waterloo, Ontario

    Developed a mock of Windows 11 with interesting notifications and functionality
    Source
  • P
    October 29, 2016

    Portal Hackathon

    Kingston, Ontario

    Developed an internal widget for uploading assignments using Waterloo's portal app
    Source
Contact

Let’s Connect

Whether it's collaboration or questions, I'm always open to a conversation. You can message me directly on X (Twitter), or reach out via email or phone.

📧 Email: sudaisazlan09@gmail.com
📞 Phone: +92 312 9136013
🔒 Privacy Policy
© 2025 Sudais Azlan. All rights reserved.
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Life in Frames

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My Projects

Check out my latest work

From sleek websites to AI-driven applications, here’s a glimpse of what I’ve built.

Scanzy AI – AI‑Content & Plagiarism Detector
Scanzy AI – AI‑Content & Plagiarism Detector
A web-based AI-powered platform that detects machine‑generated content and plagiarism instantly.
More...
Python
Transformers
BERT
scikit-learn
HuggingFace
TensorFlow
NLP
ML
Email Spam vs. Non‑Spam Classification (Supervised Learning)
Email Spam vs. Non‑Spam Classification (Supervised Learning)
An end-to-end supervised learning project to classify emails as spam or non-spam using NLP techniques and machine learning models.
More...
Python
scikit-learn
spaCy
pandas
NumPy
Flask/FastAPI
Jupyter Notebook
Matplotlib
Seaborn
Student Exam Score Predictor Using Machine Learning.
Student Exam Score Predictor Using Machine Learning.
An interactive web application built with Flask that predicts student exam scores based on weekly study hours, attendance, tutoring status, region, and parental education level. Powered by a Decision Tree Regression model trained on cleaned and preprocessed real-world-style data.
More...
Python
Flask
scikit-learn
Pandas
Numpy
HTML
Bootstrap
AI-Based Document Price Prediction Using Supervised Learning
AI-Based Document Price Prediction Using Supervised Learning
A machine learning–powered project built using supervised learning techniques to estimate document pricing based on complexity, length, and category using both regression and classification models.
More...
Python
scikit-learn
TensorFlow
Supervised Learning
Regression
Classification
Pandas
NumPy
Matplotlib
Seaborn
Jupyter Notebook