Pinned Repositories
Cotton-Plant-Disease-Detection-Using-CNN
"Cotton Plant Disease Detection Using CNN" project is a machine learning project that uses Convolutional Neural Networks to detect and classify various diseases affecting cotton plants.
Cotton_Plant_Disease_Detector_Mobile_Application
This is a mobile application for detecting cotton plant diseases using machine learning techniques. The app uses the device's camera to capture an image of the cotton plant, and then uses a CNN model to identify the disease.
Daily-Minimum-Temperatures-in-Melbourne-Predication-Time-Series-Project-
Daily Minimum Temperatures in Melbourne Prediction is a time series project that involves forecasting the minimum temperature in Melbourne, Australia for future dates based on past observations.
Deep-Learning
Driver-drowsiness-detection-using-Python-OpenCV-Dlib
Driver drowsiness detection using Python OpenCV Dlib project is a computer vision system to detect when a driver is drowsy or sleepy while driving. The system uses a camera to capture images of the driver's face and then analyzes these images to detect signs of drowsiness such as eye closure, head nodding,
Exploratory-Data-Analysis-with-Python-and-applying-Logistic-Regression
This project is focused on performing Exploratory Data Analysis (EDA) with Python and applying Logistic Regression for classification. In this project we used various Python libraries, such as NumPy, Pandas, Matplotlib, Scikit-learn, and Seaborn, to analyze and visualize the data and build a Logistic Regression model.
Face_Mask_Detection_Project
Face Mask Detection Project is a computer vision project that detect whether a person is wearing a face mask or not using CNN. This project involves developing a machine learning model that can accurately detect faces in real-time video or image feeds, and then determine if the face is covered with a mask or not.
Gender-Detection-Using-Deep-Learning-and-OpenCV
Gender Detection Using Deep Learning and OpenCV is a computer vision project that uses deep neural networks and OpenCV to identify the gender of a person from a digital image or video stream. The model trained on a large dataset of images containing male and female faces, and then using the trained model to make predictions on new images or videos
Iris-Flowers-Classification-Project
Iris Flowers Classification Project is a machine learning project that involves building a model to classify different species of Iris flowers based on their features such as petal length, petal width, sepal length, and sepal width. The dataset used in this project contains measurements of 150 iris flowers.
Tomato-Leaf-Disease-Detection-Using-CNN
Tomato Leaf Disease Detection Using CNN is a machine learning project that identify and classify various diseases affecting tomato plants using Convolutional Neural Networks (CNN).
TanzeelAbbas's Repositories
TanzeelAbbas/Deep-Learning
TanzeelAbbas/Tomato-Leaf-Disease-Detection-Using-CNN
Tomato Leaf Disease Detection Using CNN is a machine learning project that identify and classify various diseases affecting tomato plants using Convolutional Neural Networks (CNN).
TanzeelAbbas/Cotton-Plant-Disease-Detection-Using-CNN
"Cotton Plant Disease Detection Using CNN" project is a machine learning project that uses Convolutional Neural Networks to detect and classify various diseases affecting cotton plants.
TanzeelAbbas/Cotton_Plant_Disease_Detector_Mobile_Application
This is a mobile application for detecting cotton plant diseases using machine learning techniques. The app uses the device's camera to capture an image of the cotton plant, and then uses a CNN model to identify the disease.
TanzeelAbbas/Daily-Minimum-Temperatures-in-Melbourne-Predication-Time-Series-Project-
Daily Minimum Temperatures in Melbourne Prediction is a time series project that involves forecasting the minimum temperature in Melbourne, Australia for future dates based on past observations.
TanzeelAbbas/Driver-drowsiness-detection-using-Python-OpenCV-Dlib
Driver drowsiness detection using Python OpenCV Dlib project is a computer vision system to detect when a driver is drowsy or sleepy while driving. The system uses a camera to capture images of the driver's face and then analyzes these images to detect signs of drowsiness such as eye closure, head nodding,
TanzeelAbbas/Exploratory-Data-Analysis-with-Python-and-applying-Logistic-Regression
This project is focused on performing Exploratory Data Analysis (EDA) with Python and applying Logistic Regression for classification. In this project we used various Python libraries, such as NumPy, Pandas, Matplotlib, Scikit-learn, and Seaborn, to analyze and visualize the data and build a Logistic Regression model.
TanzeelAbbas/Face_Mask_Detection_Project
Face Mask Detection Project is a computer vision project that detect whether a person is wearing a face mask or not using CNN. This project involves developing a machine learning model that can accurately detect faces in real-time video or image feeds, and then determine if the face is covered with a mask or not.
TanzeelAbbas/Gender-Detection-Using-Deep-Learning-and-OpenCV
Gender Detection Using Deep Learning and OpenCV is a computer vision project that uses deep neural networks and OpenCV to identify the gender of a person from a digital image or video stream. The model trained on a large dataset of images containing male and female faces, and then using the trained model to make predictions on new images or videos
TanzeelAbbas/Iris-Flowers-Classification-Project
Iris Flowers Classification Project is a machine learning project that involves building a model to classify different species of Iris flowers based on their features such as petal length, petal width, sepal length, and sepal width. The dataset used in this project contains measurements of 150 iris flowers.
TanzeelAbbas/Mawa-Water-Quality-Mapping-and-Prediction-App
TanzeelAbbas/Python-langauge-Tutorial
"Python Language Tutorial" guide to learning the Python programming language. The repository contains a collection of Python code examples and explanations that cover various topics, from basic syntax and data types to more advanced concepts like object-oriented programming, NumPy Library, Pandas library, Seaborn Library and Matplotlib Library
TanzeelAbbas/Sarcasm_Headlines_Classification_Project
Sarcasm Headlines Classification Project is a machine learning project that can accurately identify and classify sarcastic headlines.
TanzeelAbbas/Skin-Disease-Detection-Using-CNN
TanzeelAbbas/Skin_Disease_Detector_Website
Skin Disease Detector Website used CNN to detect and classify skin diseases. This application can currently detect and classify three different skin conditions: bullous disease, seborrheic keratoses, and warts molluscum. Users can upload images of their skin and receive a diagnosis of their skin condition.
TanzeelAbbas/Assignment-Repo
TanzeelAbbas/Cotton-Plant-Disease-Detector-Website-
"Cotton Plant Disease Detector Website" project help cotton farmers detect diseases in their plants using machine learning. The website provides a platform for farmers to upload images of their cotton plants and receive a diagnosis of any potential diseases and also give some product recommendation.
TanzeelAbbas/Files
TanzeelAbbas/Financial-Chatbot
TanzeelAbbas/Generative-AI
This repository is a collection of advanced Generative Artificial Intelligence (AI) techniques. It encompasses materials for fine-tuning Large Language Models (LLMs), syntactic data generation, and Retrieval-Augmented Generation (RAG). It is designed to facilitate the exploration and implementation of these techniques in real-world AI applications.
TanzeelAbbas/House-Price-Predication-Project-House-Sales-in-King-County-USA-
This project focuses on predicting house prices in King County, USA, using a machine learning approach. It involves data analysis, feature engineering, and the development of predictive models to assist in estimating house prices based on various factors.
TanzeelAbbas/PocketNet-Implementaion-Using-Python-Tensorflow
PocketNet is an ultra-lightweight face recognition network that uses neural architecture search and multi-step knowledge distillation. It delivers high accuracy in face recognition tasks while minimizing computational resources and model size.
TanzeelAbbas/Practice
TanzeelAbbas/RAG-Conversationally-Aware-Chatbot
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
TanzeelAbbas/Scanned-Pdf-To-Text-Extractor-Using-Python
The Scanned PDF to Text Extractor is a Python program that converts scanned PDFs into editable text. It uses OCR technology to extract text from scanned images within the PDF, making it searchable and editable.
TanzeelAbbas/Telecom-Customer-Churn-Prediction
This project uses machine learning to predict customer churn in a telecom company. In this project several models, including Logistic Regression, Decision Tree, Naive Bayes, K-Nearest Neighbors, Neural Network, and Random Forest, are used. Project also provides a function for preprocessing new data points and using a trained model to predict churn.