bha08vya's Stars
miriandres/Happy2Help-chatbot
🧠 Happy2Help is your mental health chatbot
Ayo-folashade/mindmend
This repository is a mental health chatbot implemented using LangChain
SK-4/Calmly
Mental Health Chatbot
Rushimalani13/Chatbot_For_Mental_Health
Chatbot For Mental Health
Sanjana-Rajagopala/AI_Healthcare_Chatbot
Created a chatbot that acts as virtual healthcare assistant to patients with mental health problems.
Rogendo/Mental-health-Chatbot
This is a MULTILINGUAL bot designed to provide emotional support and assistance to individuals struggling with mental health issues. It can help individuals access mental health resources, offer guidance and support. With the integration of Language translation, this chatbot will be very efficient as it will be able to break the language barriers
darkhorrow/chatbot-tfg
A Rasa chatbot to perform mental health evaluations
akshaybahadur21/Drowsiness_Detection
A simple Drowsiness Detection module for humans. 😴 🚫 🚗
omrawal/Chatbot-API
API for Mental Health Bot Chatbot
bhumikabhatia/mental-health-chatbot-Miklal
A mental health chatbot built using NLP techniques that provides responses from verified psychologists.
Huzaib/Mental-Health-ChatBot
This is my Mental Health ChatBot created using Rasa NLU
john161wiinblog/The-Latest-On-Significant-Criteria-In-music-leak
Fallout: New Vegas - Dead Money Walkthrough - Last Luxuries<br><br>On early Thursday morning, a part of the People's Hospital in Shanxi province, China reportedly collapsed because of two sudden craters. The road cave-in appeared on Shuangta East Street in Taiyuan, capital of north China\'s Shanxi Province at 8:00 a.m local time on August 12th. These two craters are 6 and 8 meters deep with the width of 15 meters. Each one is large enough for two buses. Only one hour later, the east side from the People's Hospital caved in. Fortunately, nobody was injured throughout the incident since the building collapsed slowly and everyone surely could evacuate safely. Some people thought the cave-in resulted through the long heavy rain. According to experts in the city\'s urban construction bureau, a leak in the underground pipeline caused sudden craters. Fire fighters and also the police were mobilized to handle the incident.<br><br>One of the most difficult computer problems to troubleshoot occurs when you press the energy button and absolutely nothing happens. The possible reasons include almost any possible thing that may get it wrong with a computer. In most cases it boils down to as an issue with either the motherboard or the energy supply. In this article we will discuss troubleshooting ways to determine whether or otherwise you have a motherboard or power source problem that's preventing your personal machine for starting.<br><br>There are certain things you should think about to help you determine what iPod or MP3 player is the best for audiobooks, such as life of the battery, storage capacity, and how many hours' importance of audio. MP3 players are getting to be the decision for most people when playing audiobooks. They are small, convenient and hold many hours' worth of audio. Of course, it's not surprise that the iPod helps make the the top list.<br><br> “In the days when I would get loaded, I would have thought this became great. Now that I'm straight, I think I'm too square to understand where they're at. I kept listening and thought, 'Damn, exactly why do they want me?' It's all a new comer to me. The only thing that convinced me was my daughter said, 'Dad, you still have to get this done. They're awesome.' I said, 'You're hip to them?'"<br><br>Look at it in this way. You have a leak inside the roof and there is a nasty thunderstorm soaking your property. Water is pouring with the ceiling and you are placing buckets around looking to catch every one of the water. After awhile, the rain ends along with the water stops running into your property. You empty the buckets and all sorts of is well. Until, that is certainly, in the event it rains again. Without repairing the main of the problem, the leak inside the roof, once the next rain comes, water will likely be pouring into the house again. <a href="http://newleakedmp3.com">new leaked mp3</a>
ilanap/where-is-my-bus
haerulmuttaqin/MyPets-App
:cat: Android Pets App
chenlabgccri/CancerTypePrediction
This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".
YingSong1/DosePredcition
DosePredcition for Accelerated Planning of Rectal Cancer Radiotherapy
datasets/cervical-cancer
Cervical cancer occurrences
shiv213/Artificial-Intelligence-for-Colon-Cancer-Detection
Image classifier for colon cancer detection from colonoscopies.
Tesseract-MI/prostatecancer.ai
prostatecancer.ai is an AI-based, zero-footprint medical image viewer that can identify clinically significant prostate cancer.
xtsvm/CancerSubtypes
Cancer subtypes identification, validation and visualization based on genomic data
IndianAIProduction-Channel/Breast-Cancer-Detection-App
Breast Cancer Detection App Using Machine Learning XGBoost Classifier
rajat1994/WebApp-for-breast-cancer-detection
A web app for breast cancer detection.
Aayushi-2808/Cervical_cancer_detection_using_ML
# Cervical_cancer_detection_using_ML # Introduction According to World Health Organisation (WHO), when detected at an early stage, cervical cancer is one of the most curable cancers. Hence, the main motive behind this project is to detect the cancer in its early stages so that it can be treated and managed in the patients effectively. # Flow of project is as explained below: This project is divided into 5 parts: 1. Data Cleaning 2. Exploratory Data Analysis 3. Baseline model: Logistic Regression 4. Ensemble Models: Bagging with Decision Trees, Random forest and Boosting 5. Model Comparison and results # Refer below for References: Link to basic information regarding cervical cancer : https://www.cdc.gov/cancer/cervical/basic_info/index.htm The dataset for tackling the problem is supplied by the UCI repository for Machine Learning. Link to Dataset : https://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk+Factors%29 The dataset contains a list of risk factors that lead up to the Biopsy examination. The generation of the predictor variable is taken care of in part 2 (Exploratory data analysis) of this report. We will try to predict the 'biopsy' variable from the dataset using Logistic Regression, Random Forest, Bagging with Decision Trees and Boosting with XGBoost Classifier. # Results: Based on our Base model and The Ensemble Models we used, we observed - 1. After the entire process of training, hyperparameter tuning and tackling class imbalance was complete , we obtained the results as depicted through the graphics. 2. We observe that Bagging and Random Forest gives the highest accuracy and precision of 97.09 and 80% resp. 3. Plotting the Confusion matrix showed us that Random Forest using upsampling and class weights gives us 2 false positives and 3 false negatives with auc of 0.87 # Why random forest is the best model?? 1. So as we see, while comparing all of our models,RF has maximum f1_score and accuracy along with Bagging i.e. 76.2 n 97.09% resp. 2. And it also produces the same amount of false negatives with a recall of 72.73% just like all the other models. 3. But we still consider RF better coz of its added advantage that, the decision trees are decorrelated as compared to bagging leading to lesser variance and greater ability to generalize. # Conclusion: On observing the feature importance of the best model i.e random forest, we can see that the most important features are Schiller, Hinselmann, HPV, Citology, etc. This also makes sense because Schiller and Hinselmann are actually the tests used to detect cervical cancer. # Problems Faced: A major problem encountered while training the model was that it had too little data to train. On collaborating with all the hospitals in India, we can have enough data points to train a model with a higher recall, thus making the model better. # Scope of Improvement As next steps I would want to do exactly that, to deploy the model and refine it. We may also modify the number of the predictor variables, as it may well turn out that there are other predictors which may not be present in our current dataset. This can only be found by practical implementation of our predictions.
Projects-Developer/Drowsiness-Detector-College-Project
Drowsiness Detector using Python. College Project with all Documents
murtazahassan/Face-Recognition
sagnikghoshcr7/Car-Price-Prediction
Predict the price of used cars
vivek09thakur/HIRO
Your personal healthcare companion :D
RiturajSaha/Health-Discernment-System
A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.
ndrohith09/arduino
These are IOT projects.In these IOT projects I am using ARDUINO MICROCONTROLLER to create projects.
ansoridev/cashierless-pay
Project KKSI Iot 2020