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Gender-and-Age-prediction-Using-Neural-Network-and-Machine-Learning
Age and gender, 2 of the key facial attributes, play a really foundational role in social interactions, creating age and gender estimation from a single face image a crucial task in intelligent applications, like access management, human-computer interaction etc. Advancement in computer vision makes this prediction even more practical and open to all, thus enabling the world to come up with datasets, one of which, used in this paper, is UTK-Face that has 23705 pictures of male and female ageing from 0 to 116. In this paper, we propose a Convolution Neural Network (CNN) to predict age and gender. CNN is a Neural Network (NN) algorithm that extracts the deep features from the image and specifies the desired output at the final layers. Age prediction is approximately near to the real values with a five difference in both ways. Gender prediction is accurate in all the test data presented to the model. Validating with arguments shows no change in training and validation. Our model successfully executed approximately 80% in gender prediction and 60% in age prediction that can be furtherly advanced with pipelining with other classification models and much larger real-world datasetVehicle-number-plate-character-recognition-using-Easyocr
This project is helpful for vehicle number plate character recognition using the help of numpy and easyocr.Garbageman
Alzheimer-s-Disease-Classification
Plat-Area-wise-price-in-Dhaka-city-ML
I will try to predict the price of a flat in Dhaka city by total area .Startup_success_prediction
The objective is to analyze startup behavior based on several variables, determine what variables affect startup success the most, then build a model that can predict the success of a Startup. The main The goal to be achieved is to determine whether a Startup will be successful or not.Love Open Source and this site? Check out how you can help us