Narrachandanasri

cellpose

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

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.

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.

Farmer-Call-Center

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

android-malware-detection

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

Android-Malware-Detection

Android Malware Detection using Deep Learning

SIH2022

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

Deep-Learning-based-Emotion-Recognition

Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN

Python-Emotion-using-EEG-Signal

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

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.

Kidney-Stone-Detection-IP

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

Emotional-Video-to-Audio-with-ANFIS-DeepRNN

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

Swadeshi

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

Emotion-detection-from-EEG

KNN classifier for human emotion from EEG

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.

Content-Based-Video-Retrieval-Code

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

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.

Deep-Learning-for-EEG-Based-Biometrics

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

Kidney_stone_detection

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

MachineLearningLeukemiaDetection

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

Cancer-Cell-Prediction

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

team-011-backend

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