PURSUING MS IN COMPUTER SCIENCE IN REVA UNIVERSITY.
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Identification-of-phonenumber-s-country-service-provider
April 21, 2021 – April 21, 2021
To identify the phone numbers ,country and service provider
View ProjectARTIFICIAL-INTELLIGENCE-HEALTHCARE-CHATBOT-SYSTEM-USING-PYTHON
April 15, 2021 – May 7, 2021
Through chatbots one can communicate with text or voice interface and get reply through Artificial intelligence. Typically, a chat bot will communicate with a real person. Chat bots are used in applications such as ecommerce customer service, call centres and Internet gaming. Chatbots are programs built to automatically engage with received messages. Chatbots can be programmed to respond the same way each time, to respond differently to messages containing certain keywords and even to use machine learning to adapt their responses to fit the situation. A developing number of hospitals, nursing homes, and even private centres, presently utilize online Chatbots for human services on their sites. These bots connect with potential patients visiting the site, helping them discover specialists, booking their appointments, and getting them access to the correct treatment. In any case, the utilization of Artificial intelligence in an industry where individuals’ lives could be in question, still
View ProjectHEATHCARE-CHATBOT-SYSTEM-USING-PYTHON
April 15, 2021 – April 15, 2021
HEATHCARE-CHATBOT-SYSTEM-USING-PYTHON — GitHub repository
View ProjectAI-BASED-FACIAL-EMOTION-DETECTION-USING-DEEP-LEARNING
April 10, 2021 – April 28, 2022
“AI Based Facial Emotion Detection”, developed using many machine learning algorithms including convolution neural networks (CNN) for a facial expression recognition task. The goal is to classify each facial image into one of the seven facial emotion categories considered in this study.Trained CNN models with different depth using gray-scale images from the Kaggle website.CNN models are developed in Pytorch and exploited Graphics Processing Unit (GPU) computation in order to expedite the training process. In addition to the networks performing based on raw pixel data,Hybrid feature strategy is employed by which trained a novel CNN model with the combination of raw pixel data and Histogram of Oriented Gradients (HOG) features. To reduce the over fitting of the models,different techniques are utilized including dropout and batch normalization in addition to L2 regularization. Cross validation is applied to determine the optimal hyper-parameters and evaluated the performance of the develo
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on AI/ML and Python, which does not directly align with a 'Frontend Developer' target role. The diversity of projects is within the AI/ML domain, but lacks breadth in frontend technologies. This indicates a potential mismatch with the stated target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test results to evaluate communication or work attitude.