A deep learning-powered Flask web app that identifies dog breeds from images using TensorFlow and Keras.

This project aims at determinig the genre of the movie using its posters for image classifications CNNs are the most effective types of neural network in this project we try to create a CNN which would predict the genres of these movies.

Classify traffic signs from the German Traffic Sign Dataset

Neural-Networks-mini-projects-Resources-NN-DNN-CNN-and-RNN

Final Thesis Dissertation in Fulfillment of our Bachelor of Science in Engineering (B.Sc.Engg) with major in Computer Science and Engineering. This research is entitled *Optimized Human-Emotion Detection in Written-Text using Hybrid Machine Learning Classification Algorithm*, with codename *OEHML* Framework.

Coursera Course

Image colorization is a challenging task and a topic of ongoing research in the area of Computer Vision. We present a convolutional-neural-network-based system that faithfully colorizes black and white photographic images without direct human assistance. We explore various network architectures, objectives, color spaces, and problem formulations…

Hemato-Vision is an AI-based web application that classifies blood cell images into eosinophils, lymphocytes, monocytes, or neutrophils using a pre-trained deep learning model. Built with Flask and TensorFlow, it provides fast, accurate predictions to support medical research and diagnostics.

A web application that delivers music and videos based on the user's emotional state.

Machine Learning Project for College Demonstration.(Visit the below mentioned link to veiw it, and get your health status report)

Dự án xây dựng mô hình CNN và huấn luyện dữ liệu tự cào, website cho phép người dùng nhận diện cầu thủ bóng đá nổi tiếng ở giải ngoại hạng Anh , bằng hình ảnh chụp gương mặt cậu thủ đó

The main objective of this project was to implement a web application for dermatological patients to keep track of their skin health and help them make early detection of skin cancer. One of the areas with the greatest potential impact was the contribution that web applications can reduce the communication gap between dermatological patients wit…

A web application developed to generate captions from images. It can also detect edges and corners of an image. Furthermore, it can perform comparative anomaly detection.

Here you will learn Machine Learning from the start. We have code all the concepts in both python and R.

FurrySquad – AI-Powered Animal Assistance Web App Developed a full-stack Flask-based platform integrating a CNN model for animal species prediction, Socket.IO for real-time rescue coordination, and lost pet finding. Role-based access for users, help centers, and admins. PostgresSQL is used for Database Management

A Japanese writing study website that uses Python with Flask, SQLAlchemy, SQLite, and a CNN model for checking character drawing accuracy.

Traffic Sign Classifier (project 3 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Udacity project for Dog breed classifier using CNN

Falcon breed classifier

tensorflow convnet image classification with CIFAR-10 dataset, 0.7 accuracy