S
- Machine Learning
- Python
The surge in social networking’s popularity has led to a rise in social network mental disorders (SNMDs). These include Cyber-Relationship Addiction, Information Overload, and Net Compulsion. Early detection is crucial. We propose a machine learning approach, SNMDD, leveraging social network data to identify SNMD cases. Our innovative STM model enhances accuracy and scalability. Evaluation involving 3,126 users confirms SNMDD’s promise in identifying potential SNMDs.
- Machine Learning in Healthcare
- Mental Health Detection
- Social Network Disorders
R
- Machine Learning
- Python
E-commerce websites are online portals that facilitate online transactions of goods and services through means of the transfer of information and funds over the Internet. In the early days, e-Commerce was done partially through emails and phone calls. Now, with a single website, anything and everything that a transaction needs, can be executed online.. Resale App is an e commerce business website in which Customers can post Products and can also buy products from another users. Website offers customers a convenient, fast and secure way to search, browse, compare offers, and shop online quickly and easily, at anytime from anywhere. Sell anything from used cars to mobiles, furniture, laptops, clothing and more..
- EcommercePlatform
- OnlineShopping
- ResaleMarketplace
N
- Machine Learning
- Python
Age and gender estimation from a single face image is crucial in social interactions, access control, human-computer interaction, law enforcement, marketing, and surveillance. OpenCV, short for Open Source Computer Vision, is an open-source library supporting real-time image and video processing with deep learning frameworks like TensorFlow, Caffe, and PyTorch. Convolutional Neural Networks (CNNs), widely used for image recognition and NLP, consist of input and output layers and multiple hidden convolutional layers, functioning as regularized multilayer perceptrons.
- DeepLearning
- FaceRecognition
- OpenCV
I
- Machine Learning
- Python
QR codes are widely used in our daily life from social media websites to cash less shopping wallets, ERP (Enterprise Resource Planning) Software implementation to Display advertising and digital marketing etc. This project is divided into five subparts. In first part, we have introduced about basics of QR codes, their versions, creating and scanning process and its various application. Then in second part we have written about various features of QR codes, due to them QR code became so popular and we have also discussed about its structure to understand its basic functionality. There after we have compared three different kinds of codes-bar code, quick response code and color quick response code, based on its storage capacity, error resistance,360 degree reading and other factors. Then in fourth part we have reviewed the literature and mentioned various techniques used by researcher to increase the data storage capacity of QR codes.
- CustomQRCode
- InventoryManagement
- QRCodeInnovation
G
- Machine Learning
- Python
Age and gender estimation from a single face image is crucial in social interactions, access control, human-computer interaction, law enforcement, marketing, and surveillance. OpenCV, short for Open Source Computer Vision, is an open-source library supporting real-time image and video processing with deep learning frameworks like TensorFlow, Caffe, and PyTorch. Convolutional Neural Networks (CNNs), widely used for image recognition and NLP, consist of input and output layers and multiple hidden convolutional layers, functioning as regularized multilayer perceptrons.
Module Description
Input Image Collection
collecting images from video or collecting raw images to which we need to predict the gender and age of person
Face Detection
From the image it is needed to predict the accurate face position
Feature Extraction
Extracting facial features from the detected face
Prediction
Comparing the extracted features from the given image with the dataset and predict age and gender
- AgeAndGenderEstimation
- ConvolutionalNeuralNetworks
- OpenCV
A
- Machine Learning
- Python
The Emo player project is a unique emotion-based music player. It automatically selects songs based on the user’s facial emotions, using the Support Vector Machine (SVM) algorithm for emotion recognition. Training data from Olivetti faces with 400 faces and webcam captures are used to extract facial features for emotion analysis.
Module Description
Image Collection
Collecting images from video or collecting raw images to which we need to predict the gender and age of persons
Face Detection
From the image it is needed to predict the accurate face position.
Emotion Extraction
Extracting feature features and recognizing emotion.
Emotion Audio Integration
Based on extracted emotion from face select suitable song from song dataset.
- Emotion-BasedMusicPlayer
- FacialEmotionRecognition
- SupportVectorMachine
T
- Machine Learning
- Python
In ancient Roman times, a forum was a public space in the heart of markets or towns where discussions on judicial, political, and other matters occurred. Modern forums operate similarly, with generic topics overseen by members and moderators. Register, offer information to join. The front page displays the forum’s full description. In a forum, you can explore previous discussions, each with a topic name and description.
- CommunityForums
- OnlineDialogue
- PublicDiscussionSpace
D
- Machine Learning
- Python
Over the past decade, web-based technology has undergone significant advancements, leading to a pivotal role for security technology in safeguarding our daily lives. This project introduces a robust face recognition system (SoF) dedicated to distinguishing known and unknown faces, utilizing a database for validation, setting it apart from mere face detection.
- FacialRecognition
- SecurityTechnology
- WebTechnology
- PHP
- Python
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Algorithm Used
Algorithm
Encryption
Encryption
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