Narrachandanasri

Narrachandanasri's Stars

• MouseLand/cellpose

  a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

  Language:Jupyter Notebook1.3k29867379

• Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

  This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

  Language:Python1533850

• siddhi5386/Emotion-Recognition-from-brain-EEG-signals-

  Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model successfully.

  Language:Jupyter Notebook963425

• rudrakshi99/Farmer-Call-Center

  AI-based voice-assisted Contact Center for assisting Farmers for their problems.

  Language:JavaScript683038

• anoopmsivadas/android-malware-detection

  Android Malware Detection Using Machine Learning Classifiers ( Using Permissions requested by Apps)

  Language:Jupyter Notebook524420

• aditya5558/Android-Malware-Detection

  Android Malware Detection using Deep Learning

  Language:Python502313

• rudrakshi99/SIH2022

  A platform that allows farmers to rent farming equipment for less during the off-season.

  Language:JavaScript464030

• mkfzdmr/Deep-Learning-based-Emotion-Recognition

  Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN

  Language:Python404315

• shivam-199/Python-Emotion-using-EEG-Signal

  This repository contains the code for emotion recognition using wavelet transform and svm classifiers' rbf kernel.

  Language:Jupyter Notebook32318

• THEGURUJ1/AI-for-Healthcare-Project-using-NVIDIA-Jetson-Nano-2GB-Developer-kit

  This project uses Deep learning concept in detection of Various Deadly diseases. It can Detect 1) Lung Cancer 2) Covid-19 3)Tuberculosis 4) Pneumonia. It uses CT-Scan and X-ray Images of chest/lung in detecting the disease. It has a Accuracy between 50%-80%. It can take input in any Image format or through Live videos and provide accurate output results.

  29107

• arnabsinha99/Kidney-Stone-Detection-IP

  A project to detect Kidney stone in the Ultrasound and/or CT scan images using Image processing and Machine Learning.

  Language:Python274123

• gcunhase/Emotional-Video-to-Audio-with-ANFIS-DeepRNN

  Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]

  Language:MATLAB25406

• tusharnankani/Swadeshi

  Implementing a Web Based solution through which farmers can participate in a commodity exchange market

  Language:JavaScript22276

• shsarv/AwareWeGO

  An effective Agric-E-commerce solution where people can buy fresh agricultural products directly from the farmers and let farmers sell their products without paying extra charges in between as well as grow up their market outside of the locality.

  Language:JavaScript20208

• shubhe25p/Emotion-detection-from-EEG

  KNN classifier for human emotion from EEG

  Language:Python19135

• Adamouization/Content-Based-Video-Retrieval-Code

  Undergraduate Dissertation: Content-based video retrieval prototype for movies written in Python using OpenCV.

  Language:Python17505

• IoBT-VISTEC/Deep-Learning-for-EEG-Based-Biometrics

  Affective EEG-Based Person Identification Using the Deep Learning Approach (IEEE Transactions on Cognitive and Developmental Systems)

  Language:Jupyter Notebook16113

• kanishksh4rma/Cancer-Prediction-in-Early-stages

  Machine learning techniques can be used to overcome these drawbacks which are cause due to the high dimensions of the data. So in this project I am using machine learning algorithms to predict the chances of getting cancer.

  Language:Jupyter Notebook15108

• muhammedtalo/Kidney_stone_detection

  Language:Jupyter Notebook152322

• precillieo/Elixir-Cancer-Diagnosis-AI-Based-System

  This is a repo for the Tanzania AI lab hackathon 2020 & the AI4Dev2020 challenge, where we as the Elixir team created the 1st AI based cancer diagnosis system, built a model comprising of Deep Convolutional Neural Network(CNN) and a web app that screens microscopic images so as to detect cancer tumors, thus increasing speed, accuracy in cancer diagnosis, and testing

  Language:Jupyter Notebook15207

• EricaHD/MachineLearningLeukemiaDetection

  Six machine learning methods detect acute myeloid leukemia based on genetic and hematological data

  Language:Jupyter Notebook8121

• digamjain/Cancer-Cell-Prediction

  Here I tried various Machine Learning algorithms on different cancer's dataset present in CSV format.

  Language:Jupyter Notebook7106

• BuildForSDG/team-011-backend

  Farmlord is solution that connects Landowners to Farmers, allowing them rent/lease farmlands for their next farming season.

  Language:JavaScript23242