Salman Hameed

Data Science | Machine Learning | Deep Learning | Generative AI

salmanah7816@gmail.com

03078636338

Salman Hameed

Data Science | Machine Learning | Deep Learning | Generative AI

About Me

I’m a data science and machine learning developer with a passion for solving problems using AI and ML. My work focuses on building creative solutions that make a real difference. I enjoy working solely or with teams to build innovative machine learning, data science, and generative AI solutions. I'm always eager to learn and contribute to projects that push the boundaries of what's possible.

Areas of Specialization

Data Science
Machine Learning
Deep Learning
Generative AI
Problem Solving

Skills Utilized

22 Python
5 Keras
4 Tensorflow
19 Flask
2 OpenCV
19 Bootstrap
4 Matplotlib
2 Seaborn
3 Embeddings
11 LLM
6 LangChain
5 SQL
2 Fine-Tuning
2 Transfer Learning
12 Ajax
1 Scrapping
3 OpenAI-Api
3 Langchain
5 NLP
7 Pandas
6 Scikit-Learn
1 Api Development
1 PHP
1 Whisper

Certifications (showing 5)

My Notable Projects View All Projects

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Brain Tumor Multiclass Classification using Deep Learning

I Developed a deep learning model for classifying brain tumors from MRI scans with high accuracy and speed, distinguishing Glioma, Meningioma, No Tumor, and Pituitary classes. Utilized data augmentation and a custom model architecture, deployed via a Python Flask interface for seamless user interaction.

PythonKerasTensorflow+5 more
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Books To Life: Intelligent RAG System

I created PDFGenie, a scalable and user-friendly app for uploading and engaging with PDFs. It tracks interactions, remembers where you left off, provides contextual answers and summaries, and improves efficiency over time.

PythonFlaskEmbeddings+4 more
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Hybrid Model for Colonoscopy Detection and Segmentation

Developed a hybrid deep learning system for medical image analysis, combining advanced segmentation and real-time detection techniques for precise and reliable results. Created a custom hybrid model to integrate both approaches, enhancing accuracy and dependability in clinical applications.

PythonKerasFine-Tuning+2 more
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Next-Gen AI Learning System

The Next-Gen AI Learning System is a revolutionary platform designed to personalize and enhance the learning experience. It offers advanced real-time note-taking, an AI-driven research tool for deep insights, and multi-perspective learning to help users explore concepts uniquely. Ideal for students, educators, and professionals, this platform transforms how we approach complex knowledge.

PythonFlaskAjax+4 more
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Alzheimer's Disease Multi-Class Detection using CNN

In a world where Alzheimer's disease exacts a profound toll on millions, I'm happy to share a solution: the Alzheimer's Disease Multi-Class Detection system using Convolutional Neural Networks (CNNs). With Alzheimer's manifesting in various forms - Mild Demented, Moderate Demented, Non Demented, and Very Mild Demented - my deep learning model delivers swift and accurate detection, arming healthcare professionals with critical insights for early intervention and care.

PythonTransfer LearningKeras+4 more
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Diabetes Pro Tech

I built an advanced AI application for intelligent diabetes detection, personalized support, and live doctor scrapped profiles, covering the entire pipeline from data preprocessing to model deployment.

PythonLLMScrapping+5 more
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Employee Resignation Prediction using Machine Learning

I’ve developed an Employee Resignation Prediction model that leverages machine learning to identify key factors driving attrition and predict future resignations. By integrating this model into a real-time web application, organizations can enhance their HR strategies and improve employee retention.

PythonPandasScikit-Learn+3 more
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Classification of Research Articles Using NLP & Machine Learning

This project uses NLP and ML to transform how we organize research articles. After detailed analysis and preprocessing, models achieve 96% accuracy. A user-friendly Flask app offers instant and batch predictions for article categories, streamlining research organization

PythonNLPPandas+5 more
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Chess Teacher - Your Ultimate AI-Powered Chess Mentor ♟️

I’m introducing Chess Teacher, a Generative AI and LLM-based app designed to help chess players of all levels. It offers a Learning Module with top move suggestions, AI-driven advice, and motivational quotes, as well as a Live Chess Guide that syncs with platforms like chess.com for real-time move recommendations. Chess Teacher combines AI with practical training to enhance your chess game.

PythonLangChainLLM+2 more

Github Contributions

GitHub
Eye Vein Detection In Python

Eye Vein Detection is a Python script that detects and highlights the veins in an eye image using OpenCV. This script can be useful for medical professionals, researchers, and anyone interested in studying the veins in the eye.

My Browser Extensions

AI Code Assistant for LeetCode & HackerRank

Discover how MY AI Code Assistant is transforming the way developers tackle LeetCode and HackerRank challenges. This innovative extension simplifies problem explanations, breaks down solutions step-by-step, and delivers the best code solutions instantly. Perfect for anyone looking to excel in coding interviews with the power of Generative AI.

AI Answer Pro

Unlock the power of AI with AI Answer Pro By SAH, the ultimate Chrome extension for answering questions with precision. Whether you're tackling quizzes or seeking quick insights, AI answer pro delivers accurate answers with clear, concise explanations.

Research Publication

Brain Tumor MRI Multi-Class Classification (Pending)

Advance Indepth analysis & Comparison with deep learning

My Package Releases

SAH Effects (pip install saheffects)

import cv2
from saheffects import saheffects

path                 = 'sample1.jpg'
myfilters 		= saheffects.SahFilters(path)
light_sketch 	= myfilters.noise_reduction()

cv2.imshow("Original Image", cv2.imread(path))
cv2.imshow("Light Sketch", light_sketch)
cv2.waitKey(0)
cv2.destroyAllWindows()

# Methods:
# light_sketch(), dark_sketch(), oil_paint(), grain_effect(), blur_image(20)
# pixelize(), light_glow(), contrast(), cartoonize(), sharpen_image()

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