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ai_personality-prediction-system-through-cv-analysis

Job vacancies come with the need to manually go through numerous applications and CVs. We seek an effective way to short-list submitted candidate CVs from a large number of applicants providing a consistent and fair CV ranking policy, which can be legally justified..

automatic_attendance_system

This is a face detection and recognition system for the whole classroom using CCTV camera. It will recognize the face of each student in a class simultaneously and can mark attendance at a specified time. Moreover, it will recognize the student satisfaction level in real time to grade the lecture quality. In future, we are thinking to scale this to Private/government Colleges/Schools, Corporations. The same model can also be used for Access management.

brainnetcnn_personality

Personality prediction from Human Connectome Project fMRI data using BrainNetCNN deep learning model (Kawahara et al. 2016). Project with Dr. Johann Kruschwitz, Division of Mind and Brain at Charite Medical University

cabbage-disease-classifier2020

final-year-project

CV ANALYSIS AND PERSONALITY PREDICTION

java-course

An introduction to Java

jigsaw-unintended-bias-toxicity-classification

Toxic comment classification has become an active research field with many recently proposed approaches. However, while these approaches address some of the task’s challenges others still remain unsolved and directions for further research are needed. To this end, we compare different machine learning, deep learning and shallow approaches on a new, large comment dataset and propose an ensemble that outperforms all individual models.

offlinesignatureverification

This repository contains the full code for few shot learning based offline signature verification using Depthwise Separable Convolutions

personality-prediction-system-through-cv-analysis

Predicting applicant's personality Using AI to recommend best candidate for job role in Python

personality-prediction-through-cv

A system that predict the personality of a person with OCEAN values and resume.

plant-leaf-disease-detectionnnnnn

The main aim of this project is to identify the diseases a plant leaf is suffering from so that we can give clear instruction to the farmer about the disease and the measures to be taken using CNN thereby reducing the economical losses. The Plant diseases effect the growth of the crop and reduces the quality of production. Convolutional neural networks helps in identification of features from the input images without the intervention of humans. Convolutional neural networks contains different layers and in each layer there are different activation function called neurons and have an impact on input image at each layer for the feature identification and disease detection. Based on the disease certain prevention measures are insisted to the farmers. Neural networks are used because of their great impact in the image classification.

python-naive-bayesian-classifier2

Problem: Assuming a set of documents that need to be classified, use the naïve Bayesian Classifier model to perform this task. Built-in Libraries can be used to write the program. Calculate the accuracy, precision, and recall for your data set.

real-time-multiple-object-detection

The ability of the computer to locate and identify each object in an image/video is known as object detection. Object detection has many applications in self-driving cars, pedestrian counting, face detection, vehicle detection etc. One of the crucial element of the self-driving car is the detection of various objects on the road like traffic signals, pedestrian’s other vehicles, sign boards etc. In this project, Convolutional Neural Network (CNN) based approach is used for real-time detection of multiple objects on the road. YOLO (You Only Look Once) v2 Deep Learning model is trained on PASCAL VOC dataset. We achieved mAP score of 78 on test dataset after training the model on NVIDIA DGX-1 V100 Super Computer. The trained model is then applied on recorded videos and on live streaming received through web cam.

real-time-violence-alert-system

🎦A real-time violence detector using MobileNetV2 pretrained model and image enhancement algorithms and face detection algorithms implemented using Python, including an alert system built using telegram for alerting concerned authorities, and all data stored neatly in cloud firestore🎦

rwf2000-video-database-for-violence-detection

A large scale video database for violence detection, which has 2,000 video clips containing violent or non-violent behaviours.

sms-spam-classification-using-naive-bayes-random-forest-nn

Model implementation of SMS messages into Spam or not spam using Naive Bayes, Random Forest and NN

spam-sms-classifier-deployment

tomato_leaf_disease_detection

Tomato leaf disease detection using keras

violent-individuals-identification

With the increase in crime rate, smart surveillance systems are the need of the hour.

webresume-shortlisting-and-ranking-tool

Resume Shortlisting And Ranking Tool - RSART