Asad Aziz
AI student & developer building smart solutions
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Asad is ready for their next project!
Introducing AI-Powered Scholarship Guidance Platform
๐๐ ๐๐๐ก๐จ๐ฅ๐๐ซ ๐๐ฎ๐ง๐ญ
Proud to present AI Scholar Hunt, my Final Year Project developed with ๐. ๐๐๐ฒ๐ฒ๐๐ ๐๐ฎ๐ง๐๐ข๐ซ at Khwaja Fareed University of Engineering & Information Technology (KFUEIT).
๐๐ ๐๐๐ก๐จ๐ฅ๐๐ซ ๐๐ฎ๐ง๐ญis an intelligent platform designed to simplify the international scholarship journey for students through the power of Artificial Intelligence, NLP, and Generative AI.
๐๐ข๐ฏ๐ ๐๐ฉ๐ฉ: https://asad-aziz-ai-scholar-hunt.hf.space/
โจ๐๐๐ฒ ๐
๐๐๐ญ๐ฎ๐ซ๐๐ฌ:
โข ๐ค AI Chatbot for scholarship-related guidance
โข ๐ Smart document checklist generation
โข ๐ฏ Personalized scholarship recommendations
โข ๐ ATS Resume Analyzer with improvement suggestions
โข โฐ Deadline tracking & application reminders
โข โ๏ธ Scholarship comparison module
โข ๐ Secure user authentication & profile management
๐ ๐๐ฎ๐ข๐ฅ๐ญ ๐๐ข๐ญ๐ก:
Python โข Flask โข SQLite โข Generative AI โข RAG (Retrieval-Augmented Generation) โข NLP โข HTML โข CSS โข JavaScript
๐ฏ ๐๐ซ๐จ๐๐ฅ๐๐ฆ ๐๐โ๐ซ๐ ๐๐จ๐ฅ๐ฏ๐ข๐ง๐ :
Many students struggle to understand scholarship requirements and often rely on expensive consultants. ๐๐ ๐๐๐ก๐จ๐ฅ๐๐ซ ๐๐ฎ๐ง๐ญ provides a smart, affordable, and accessible solutionโhelping students prepare documents, evaluate eligibility, and discover opportunities with confidence.
๐ก๐๐ข๐ฌ๐ข๐จ๐ง:
To empower students worldwide with intelligent scholarship guidance and make global education opportunities more accessible.
#AI #GenerativeAI #NLP #Flask #Python #FinalYearProject #ScholarshipGuidance #WebDevelopment #StudentInnovation
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Proud to Present Our Final Year Project (FYP): ๐๐ ๐๐๐ก๐จ๐ฅ๐๐ซ ๐๐ฎ๐ง๐ญ ๐
Smart Guidance for Global Scholarships
Excited to share the project my teammate Muhammad Tayyab Zunair (https://www.linkedin.com/in/mtayyabzunair/) and I have been working on as our Final Year Project in BS Artificial Intelligence at Khwaja Fareed University of Engineering & Information Technology (https://www.linkedin.com/company/khwaja-fareed-university-of-engineering-informationtechnology/) (KFUEIT).
๐๐ข๐ฏ๐ ๐๐ฉ๐ฉ: https://lnkd.in/d9MzvNjC
(https://lnkd.in/d9MzvNjC)๐ AI Scholar Hunt is an AI-powered platform designed to help students:
โ
Discover the right international scholarships
โ
Understand eligibility requirements
โ
Generate required document checklists
โ
Get step-by-step application guidance
โ
Track deadlines & receive reminders
โ
Receive personalized scholarship recommendations through an intelligent chatbot
๐๐ฎ๐ซ ๐ ๐จ๐๐ฅ: is simple to make scholarship opportunities more accessible and eliminate dependency on expensive consultancy services.
๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐๐ฌ๐๐
Python (Core Backend Development)
Flask Framework (Web Application Backend & API Handling)
Generative AI (LLMs) (Intelligent Conversational Response Generation)
Retrieval-Augmented Generation (RAG) (Context-Aware Knowledge Retrieval)
Natural Language Processing (NLP) (Query Understanding & Intent Detection)
Large Language Models (LLM Integration) (Scholarship Guidance Chatbot Engine)
Prompt Engineering (Response Optimization & Instruction Design)
Vector Embeddings (Semantic Search & Similarity Matching)
Semantic Search Engine (Scholarship Recommendation Matching)
Machine Learning Algorithms (Personalized Recommendation System)
Knowledge Base Construction (Scholarship Data Organization)
Web Scraping & Data Extraction (Automated Scholarship Information Collection)
Document Intelligence (Requirement Parsing & Checklist Generation)
SQLite Database (User Data & Application Storage)
Git & GitHub (Version Control & Collaboration)
This project reflects our passion for building AI solutions that solve real-world problems and create meaningful impact in studentsโ lives.
A special thanks to our respected supervisor Sir Muhammad Adeel Abid (https://www.linkedin.com/in/muhammad-adeel-abid-a89a2146/) for his valuable guidance, support, and mentorship throughout this journey. Your encouragement helped us shape this project into something we are truly proud of.
Big appreciation to my project partner Muhammad Tayyab Zunair (https://www.linkedin.com/in/mtayyabzunair/) for the teamwork, dedication, and collaboration throughout this project. Looking forward to building many more impactful solutions together.
We would love your feedback and suggestions! ๐
hashtag#FinalYearProject (https://www.linkedin.com/search/results/all/?keywords=%23finalyearproject&origin=HASH_TAG_FROM_FEED) hashtag#AIScholarHunt (https://www.linkedin.com/search/results/all/?keywords=%23aischolarhunt&origin=HASH_TAG_FROM_FEED) hashtag#ArtificialIntelligence (https://www.linkedin.com/search/results/all/?keywords=%23artificialintelligence&origin=HASH_TAG_FROM_FEED) hashtag#GenerativeAI (https://www.linkedin.com/search/results/all/?keywords=%23generativeai&origin=HASH_TAG_FROM_FEED) hashtag#MachineLearning (https://www.linkedin.com/search/results/all/?keywords=%23machinelearning&origin=HASH_TAG_FROM_FEED) hashtag#NLP (https://www.linkedin.com/search/results/all/?keywords=%23nlp&origin=HASH_TAG_FROM_FEED) hashtag#Python (https://www.linkedin.com/search/results/all/?keywords=%23python&origin=HASH_TAG_FROM_FEED) hashtag#Flask (https://www.linkedin.com/search/results/all/?keywords=%23flask&origin=HASH_TAG_FROM_FEED) hashtag#StudentInnovation (https://www.linkedin.com/search/results/all/?keywords=%23studentinnovation&origin=HASH_TAG_FROM_FEED) hashtag#Scholarships (https://www.linkedin.com/search/results/all/?keywords=%23scholarships&origin=HASH_TAG_FROM_FEED) hashtag#EdTech (https://www.linkedin.com/search/results/all/?keywords=%23edtech&origin=HASH_TAG_FROM_FEED) hashtag#KFUEIT (https://www.linkedin.com/search/results/all/?keywords=%23kfueit&origin=HASH_TAG_FROM_FEED) hashtag#BSAI (https://www.linkedin.com/search/results/all/?keywords=%23bsai&origin=HASH_TAG_FROM_FEED) hashtag#AIForEducation (https://www.linkedin.com/search/results/all/?keywords=%23aiforeducation&origin=HASH_TAG_FROM_FEED) hashtag#TechForGood (https://www.linkedin.com/search/results/all/?keywords=%23techforgood&origin=HASH_TAG_FROM_FEED)
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๐ย SMS Spam Detection Project
Iโm excited to share one of my machine learning projects โ anย SMS Spam Detection Systemย ๐ฉ
๐ The goal of this project is to automatically classify incoming messages asย spam or ham (legitimate messages).
๐กย Key Features:
Machine Learning-based model
Text preprocessing & feature extraction
Accurate spam classification
Simple and user-friendly interface using Streamlit
๐ ย Technologies Used:
Python
Scikit-learn
Pandas & NumPy
Streamlit
๐ The project is available on GitHub and also deployed using Streamlit.
๐ Project Link:
https://sms-spam-detection-001.streamlit.app/
๐ Feel free to check it out and share your feedback. Your suggestions will help me improve further!
#MachineLearning #Python #AI #DataScience #Streamlit #GitHub #Learning
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From a curious student to an AI Engineer โ here's my honest journey. ๐
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 โ this field is where I belong.
But honestly? For the first few semesters, AI felt like a distant concept. Theory, mathematics, algorithms โ 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 โ I was building it. Models were training. Predictions were happening. Data was turning into intelligence.
Something clicked. ๐ก
From that moment, I stopped waiting for opportunities and started creating them:
๐น Built a RAG-powered chatbot using GPT-4, Gemini & LangChain โ handling 100+ documents with sub-3-second responses
๐น Engineered a Brain Tumor Detection system using YOLOv8 โ deployed live on Streamlit
๐น Developed a full-stack SaaS MVP โ from concept to deployment in one week
๐น Earned Oracle (https://www.linkedin.com/company/oracle/) Cloud Infrastructure 2025 Certification โ 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 โ do it. The field rewards builders.
Still building. Still learning. ๐ฅ
โป๏ธ Repost if this resonates โ it might help a student who needs to hear this today.
Drop a comment ๐ โ 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)
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๐ Excited to Share My Professional Portfolio!
Iโm thrilled to announce the launch of my personal portfolio websiteโnow live!
๐ 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:
๐น Academic & personal projects
๐น Technical skills and tools Iโve mastered
๐น Real-world applications and code samples
๐น My story as a student and aspiring AI professional
โจ Whether youโre a recruiter, collaborator, or fellow tech enthusiast, Iโd love for you to explore it and share your feedback.
Thank you for your support! Letโs build smarter tech together.
#Portfolio #ArtificialIntelligence #MachineLearning #WebDevelopment #CareerGrowth #Tech
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Iโm a BS-Artificial Intelligence student with hands-on experience in predictive modeling, customer segmentation, and ML workflow automation. Iโm actively seeking roles where I can apply AI, ML, and data-driven decision-making to real-world challenges.
๐ Connect with me: https://www.linkedin.com/in/asad-aziz-140p/
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๐ AI Pet Classifier โ 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 ๐: https://ai-pet-classifier-rjgrtbjr6d6keilh6b8vhm.streamlit.app/
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AIโTextโSummarizer is an intelligent, Pythonโbased 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.
AIโTextโSummarizer is a Python-powered NLP tool that turns long text into concise summaries. Using transformer models, it extracts key points quickly. Built with Streamlit, itโs ideal for students, researchers, and professionals needing fast, context-aware text summaries.
Link ๐: https://ai-text-summarizer-9psvmowbxtyrhztwx3v645.streamlit.app/
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AI-Based Brain Tumor Detection System ๐ง
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.
Demo๐ : https://brain-tumor-detection-342dgceyrprgskelub8cyj.streamlit.app/
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AI-Driven Personalized Learning Through Emotions
I developed an AI-powered personalized learning system that adapts educational content based on a learnerโs 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.
Demo๐ : https://asad-aziz-personalized-learning-through-emotions.hf.space/
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