Asad Aziz
AI student & developer building smart solutions
New to Contra
Asad is ready for their next project!
🚀 SMS Spam Detection Project
I’m excited to share one of my machine learning projects — an SMS Spam Detection System 📩
🔍 The goal of this project is to automatically classify incoming messages as spam or ham (legitimate messages).
💡 Key Features:
Machine Learning-based model
Text preprocessing & feature extraction
Accurate spam classification
Simple and user-friendly interface using Streamlit
🛠 Technologies Used:
Python
Scikit-learn
Pandas & NumPy
Streamlit
🌐 The project is available on GitHub and also deployed using Streamlit.
📎 Project Link:
https://sms-spam-detection-001.streamlit.app/
🙏 Feel free to check it out and share your feedback. Your suggestions will help me improve further!
#MachineLearning #Python #AI #DataScience #Streamlit #GitHub #Learning
7
3
92
From a curious student to an AI Engineer — here's my honest journey. 🚀
When I enrolled at Khawaja Fareed University of Engineering & Information Technology (https://www.linkedin.com/company/khawaja-fareed-university-of-engineering-&-information-technology/) (KFUEIT) for BS Artificial Intelligence, I made a decision — this field is where I belong.
But honestly? For the first few semesters, AI felt like a distant concept. Theory, mathematics, algorithms — interesting, but not yet real.
Then came 5th semester.
National Vocational and Technical Training Commission NAVTTC (https://www.linkedin.com/company/navttcofficial/) (NAVTTC) offered a hands-on AI & Machine Learning course. I almost didn't take it. I'm glad I did.
That course changed everything.
For the first time, I wasn't just reading about machine learning — I was building it. Models were training. Predictions were happening. Data was turning into intelligence.
Something clicked. 💡
From that moment, I stopped waiting for opportunities and started creating them:
🔹 Built a RAG-powered chatbot using GPT-4, Gemini & LangChain — handling 100+ documents with sub-3-second responses
🔹 Engineered a Brain Tumor Detection system using YOLOv8 — deployed live on Streamlit
🔹 Developed a full-stack SaaS MVP — from concept to deployment in one week
🔹 Earned Oracle (https://www.linkedin.com/company/oracle/) Cloud Infrastructure 2025 Certification — among the first in my cohort
Today, I'm working as an AI Engineer at Virtual Soft (https://www.linkedin.com/company/flutterexpert-com/), building real-world AI systems every day.
The journey from "AI sounds interesting" to "I build AI systems" wasn't overnight. It took one course, one click, and a decision to never stop building.
If you're a student wondering whether to dive deep into AI — do it. The field rewards builders.
Still building. Still learning. 🔥
♻️ Repost if this resonates — it might help a student who needs to hear this today.
Drop a comment 👇 — what was YOUR turning point in tech?
hashtag#AIEngineer (https://www.linkedin.com/search/results/all/?keywords=%23aiengineer&origin=HASH_TAG_FROM_FEED) hashtag#MachineLearning (https://www.linkedin.com/search/results/all/?keywords=%23machinelearning&origin=HASH_TAG_FROM_FEED) hashtag#ArtificialIntelligence (https://www.linkedin.com/search/results/all/?keywords=%23artificialintelligence&origin=HASH_TAG_FROM_FEED) hashtag#LLM (https://www.linkedin.com/search/results/all/?keywords=%23llm&origin=HASH_TAG_FROM_FEED) hashtag#ComputerVision (https://www.linkedin.com/search/results/all/?keywords=%23computervision&origin=HASH_TAG_FROM_FEED) hashtag#Pakistan (https://www.linkedin.com/search/results/all/?keywords=%23pakistan&origin=HASH_TAG_FROM_FEED) hashtag#KFUEIT (https://www.linkedin.com/search/results/all/?keywords=%23kfueit&origin=HASH_TAG_FROM_FEED) hashtag#OracleOCI (https://www.linkedin.com/search/results/all/?keywords=%23oracleoci&origin=HASH_TAG_FROM_FEED) hashtag#BuildInPublic (https://www.linkedin.com/search/results/all/?keywords=%23buildinpublic&origin=HASH_TAG_FROM_FEED) hashtag#StudentToEngineer (https://www.linkedin.com/search/results/all/?keywords=%23studenttoengineer&origin=HASH_TAG_FROM_FEED) hashtag#TechPakistan (https://www.linkedin.com/search/results/all/?keywords=%23techpakistan&origin=HASH_TAG_FROM_FEED) hashtag#MLEngineer (https://www.linkedin.com/search/results/all/?keywords=%23mlengineer&origin=HASH_TAG_FROM_FEED) hashtag#DeepLearning (https://www.linkedin.com/search/results/all/?keywords=%23deeplearning&origin=HASH_TAG_FROM_FEED) hashtag#CareerGrowth (https://www.linkedin.com/search/results/all/?keywords=%23careergrowth&origin=HASH_TAG_FROM_FEED) hashtag#NLP (https://www.linkedin.com/search/results/all/?keywords=%23nlp&origin=HASH_TAG_FROM_FEED)
1
23
🚀 Excited to Share My Professional Portfolio!
I’m thrilled to announce the launch of my personal portfolio website—now live!
👉 https://asad-aziz-001.github.io/Portfolio/
This portfolio highlights my journey, skills, and projects in Artificial Intelligence, Machine Learning, and Software Development. It showcases key work including:
🔹 Academic & personal projects
🔹 Technical skills and tools I’ve mastered
🔹 Real-world applications and code samples
🔹 My story as a student and aspiring AI professional
✨ Whether you’re a recruiter, collaborator, or fellow tech enthusiast, I’d love for you to explore it and share your feedback.
Thank you for your support! Let’s build smarter tech together.
#Portfolio #ArtificialIntelligence #MachineLearning #WebDevelopment #CareerGrowth #Tech
3
2
91
I’m a BS-Artificial Intelligence student with hands-on experience in predictive modeling, customer segmentation, and ML workflow automation. I’m actively seeking roles where I can apply AI, ML, and data-driven decision-making to real-world challenges.
🔗 Connect with me: https://www.linkedin.com/in/asad-aziz-140p/
1
2
114
🚀 AI Pet Classifier — Deep Learning Web App
A Streamlit-based web app that classifies uploaded images as cat or dog using a TensorFlow deep learning model. Built with transfer learning for accurate predictions and real-time confidence scores. Demonstrates end-to-end ML workflow: preprocessing, model training, evaluation, and deployment in an interactive UI.
Tech: Python, TensorFlow/Keras, Streamlit.
Link 🔗: https://ai-pet-classifier-rjgrtbjr6d6keilh6b8vhm.streamlit.app/
2
2
93
AI‑Text‑Summarizer is an intelligent, Python‑based application that automatically condenses long paragraphs or articles into short, meaningful summaries. Leveraging powerful natural language processing (NLP) and transformer models from the Hugging Face ecosystem, this tool helps users extract key insights from text quickly and efficiently, saving time and reducing cognitive load when processing large documents.
AI‑Text‑Summarizer is a Python-powered NLP tool that turns long text into concise summaries. Using transformer models, it extracts key points quickly. Built with Streamlit, it’s ideal for students, researchers, and professionals needing fast, context-aware text summaries.
Link 🔗: https://ai-text-summarizer-9psvmowbxtyrhztwx3v645.streamlit.app/
2
3
195
AI-Based Brain Tumor Detection System 🧠
I developed an AI-powered brain tumor detection system that analyzes medical images to support accurate and early identification of brain tumors. The project applies deep learning and image processing techniques to automatically detect tumor regions, helping reduce manual effort and improve diagnostic efficiency.
Built using Python and convolutional neural networks, this system demonstrates how AI can assist healthcare research and medical technology by providing reliable, data-driven insights from imaging data.
Demo🔗 : https://brain-tumor-detection-342dgceyrprgskelub8cyj.streamlit.app/
5
2
132
AI-Driven Personalized Learning Through Emotions
I developed an AI-powered personalized learning system that adapts educational content based on a learner’s emotional state. The system analyzes emotional responses during learning and uses machine learning to adjust recommendations, helping students stay engaged and improve understanding.
This project demonstrates how emotion-aware AI can enhance modern education by making learning more adaptive, human-centric, and data-driven. Built using Python and machine learning techniques, it is suitable for edtech platforms, training systems, and intelligent tutoring applications.
Demo🔗 : https://asad-aziz-personalized-learning-through-emotions.hf.space/
1
1
158