N V ANAND SAI KUMAR's repositories
AI_Health_Analysis
The "AI Health Analysis" repository is dedicated to analyzing various diseases using convolutional neural networks (CNN) and integrating the results into an Android application.
ML-Graphology
The "ML-Graphology" repository is dedicated to the exploration of machine learning techniques applied to graphology, the analysis of handwriting. This repository contains code, datasets, and resources for developing machine learning models to infer personality traits, emotions, or other characteristics from handwriting samples.
Anomaly-Behavior-Analysis-in-Financial-Transactions
This repository uses graph neural networks (GNNs) to analyze and detect anomalies in financial transactions, specifically fraudulent activities in credit card transactions.
Crop_Recomendation_systerm
A Crop Recommendation System utilizes algorithms and agricultural data for tailored guidance, optimizing crop selection based on soil, climate, and factors. Seamlessly integrating technology with agriculture, it empowers farmers with informed decisions for increased yields and resource efficiency, fostering sustainable practices.
FACEIT-MINI
The Facial Attendance System is a software that allows users to track attendance by recognizing the face of individuals. The system uses machine learning algorithms to identify faces and log attendance data.
Flower-Plucking-Bot
The robot is being developed by us from kare to pluck the flowers at Night
Flutter-Graphology
Flutter-Graphology is a Flutter application designed for graphology enthusiasts and practitioners. It provides tools for analyzing handwriting and inferring personality traits using graphological techniques.
ProteinViz
ProteinViz is a repository developed using Python and Flask for the 3D representation of proteins, facilitating advanced internal studies. This tool enables researchers and scientists to visualize protein structures in a three-dimensional space, aiding in the analysis and understanding of their properties and interactions.
3D-Reconstruction
Multi-View Gaussian Model for High-Resolution 3D Content Creation.
Activity-Recognition-CLSTMS
The hybrid algorithm has been builded for the human activity recognition
Email-Spam-Classification-NLP
Emails can be classified into various categories very easily based on the requirements of a particular user or a company. This email spam classification model is implemented by using Python & classification algorithms like Logistic Regression, Naive Bayes, and Support Vector Machine.
flutter_fire_connect_app
This repository is a helpful resource for Flutter developers seeking to connect their Flutter applications to Firebase. It provides guidance and code snippets to facilitate the integration process, enabling seamless communication between Flutter apps and Firebase services.
KAREOSS-ONGOING
KAREOSS OFFICIAL
Music-Genere-Recognition-using-svm
Music-Genere-Recognition-using-svm is a project that uses Support Vector Machines (SVM) to classify music into different genres. The project involves preprocessing audio data, extracting features, training an SVM model, and testing its accuracy on a dataset of music tracks.
Narla-Venkata-Anand-Sai-Kumar
A collection of my software engineering projects demonstrating skills in Python, R, Dart, web development (HTML, CSS, JavaScript), cloud technologies, machine learning, and more. I welcome collaborations and contributions – let's build something together!
pyscript
Home Page: https://pyscript.net Examples: https://pyscript.net/examples
windows-voice-assistant
The voice assistant which is developed for the windows platform