Tanwar-12/POT-HOLE-DETECTION-YOLOV5
This dataset could be used for automatically finding and categorizing potholes in city streets so the worst ones can be fixed faster.
AIML Engineer | Python Full Stack Developer | Tech Explorer
Repositories
Tanwar-12/Tanwar-12
Tanwar-12/Crop-Diseases-Detection-
Detecting crop diseases using YOLOv5 involves utilizing the YOLO (You Only Look Once) deep learning framework, specifically version 5 in this case, for object detection in images.
Tanwar-12/CHESS-PIECES-DETECTION-
Chess pieces detection involves using computer vision techniques to identify and locate individual chess pieces on a chessboard.Able to identify chess pieces on a board or in a video using yolov5.
Tanwar-12/Indian_Sign_Language_Detection-Yolov5
Creating an Indian Sign Language detection model using YOLOv5 involves training a model to recognize and locate different signs in images or videos.
Tanwar-12/OpenCV
OpenCV: Open Source Computer Vision Library. Powerful tools for image and video processing. Enhance vision
Tanwar-12/Sakshitanwarportfolio.github.io
My Personal Portfolio Website
Tanwar-12/Portuguese-bank-marketing
About The data is related with direct marketing campaigns of a Portuguese banking institution . The marketing campaigns were based on phone calls . Often , more than one contact to the same client was required , in order to access if the product ( bank term deposit ) would be ( or not ) subscribed .
Tanwar-12/To-do-List
Tanwar-12/Social-Media-Platform-Django
Tanwar-12/Django-Music-Streaming-Platform
Tanwar-12/Django-projects
Tanwar-12/Retail-Sales-Intelligence-Dashboard.
Tanwar-12/FOOD-CHATBOT
MunchMate Foodbot blends an intuitive website with an intelligent chatbot to redefine food ordering. Powered by advanced NLP techniques, the chatbot engages users in natural conversations, offering personalized recommendations and seamless order placement.
Tanwar-12/No-Churn-Telecom
This project focuses on predicting customer churn in the telecom industry using machine learning techniques. The model is trained to identify factors that influence customer retention and accurately predict whether a customer is likely to stay or leave.
Tanwar-12/Euro-Coin-Detection
Detecting Euro coins using YOLOv5 involves training a model to recognize and locate different types of Euro coins in images.TO Detect the Euro Coin Using Yolov5
Tanwar-12/PHISHING-WEBSITE-DETECTION
PREDCIT THE WEBSITE URL IT IS FAKE OR SAFE.
Tanwar-12/OCULAR-DISEASE-RECOGNITION
Ocular Disease Intelligent Recognition (ODIR) is a structured ophthalmic database of 5,000 patients with age, color fundus photographs from left and right eyes and doctors' diagnostic keywords from doctors.
Tanwar-12/Traffic-Sign-Detection-
Traffic sign detection involves the use of deep learning yolov5 techniques to identify and locate traffic signs in images or video streams. This is a critical component of many intelligent transportation systems, including autonomous vehicles and traffic management systems.
Tanwar-12/DETECTING-RICE-LEAF-DISEASES
This dataset contains 120 jpg images of disease infected rice leaves. The images are grouped into 3 classes based on the type of disease. There are 40 images in each class.
Tanwar-12/NBA-SHOT-SELECTION
NBA shot selection analysis involves studying the shots taken by basketball players during games to understand and optimize their decision-making in different game situations. Our objective is to build a shot prediction model, whether the player will score or not score.
Tanwar-12/AI-Fitness-Trainer-Using-MediaPipe-Squats-Analysis
AI FITNESS TRAINER
Tanwar-12/UPSC-PCS-Education-Hub-Generative-Ai-LLm
Tanwar-12/MACHINE-LEARNING-PROJECTS-
Machine learning is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed.
Tanwar-12/Generative-AI
Tanwar-12/Mastering-Pandas-Problems-
Tanwar-12/Skin_-Cancer-_Classification
Skin cancer classification involves developing a model to identify and classify skin lesions as either benign or malignant based on images.
Tanwar-12/OCR-in-Python-with-OpenCV-Tesseract-and-Pytesseract
OCR in python using Tesseract-OCR and OpenCV
Tanwar-12/Air--Piano-Computer-Vision-Project-
Air Piano is a computer vision based project that allows you to play a virtual piano through hand-gesture.
Tanwar-12/PLANT-DISEASE-IDENTIFICATION-USING-CNN
This project is an approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. The developed model is able to recognize 38 different types of plant diseases out of of 14 different plants.