Projects
Here, are My Projects which I did in My Under Graduate and Post Graduate.
Covid-19 Detection and Analysis using Machine Learning
Description:
The outbreak of Coronavirus (COVID-19) has impacted everyday lives globally. The number of positive cases is growing and India is now one of the most affected countries. This paper builds predictive models that can predict the number of positive cases with higher accuracy. The Front-end application such as python with Regression-based, Data visualization, and test models have been built on the data from India's sample. The model is found to be effective and will be able to predict the positive number of cases in the future with minimal error. The developed machine learning model can work in real-time and can effectively predict the number of positive cases.
Vocal Pattern Analysis to Determine Emotion Using Machine Learning
Description:
The potentiality to vary vocal sounds in order to produce speech is one of the major features which sets humans apart from other living beings. We can categorize human emotion by several attributes such as pitch, timbre, loudness, and vocal tone. It has often been noticed that humans express their emotions by varying different vocal attributes during speech generation. Hence, identification of human emotions using voice and speech analysis has a practical possibility and could potentially be beneficial in improving human conversational skills. One can follow an algorithmic approach for detection and analysis of human emotions with the help of voice and speech processing. The proposed approach has been developed with the objective of incorporation with futuristic machine learning systems for improving human-computer interactions with the help of machine learning models SVM (Support Vector Machine) and CNN (Convolution Neural Network) by the extraction of MFCC features. The above-mentioned models are trained using RAVDESS and TESS datasets.
Online Job Portal using Django
Description:
The web application “Online Job Portal system” provides an easy and convenient search application for the job seekers to find their desired jobs and for the recruiters to find the right candidate. Job seekers from any background can search for current job openings. Job seekers can register with the application and update their details and skill set. They can search for available jobs and apply to their desired positions. To make things handy, the user functionalities are developed as a web application. An employer can register with the application and posts their current openings. They can view the Job applicants Users can provide an educational record about an organization and share their experience, which can be viewed by the employers.
Text Classification Using Transformer
(RoBERTa)
Description:
Text classification is a fundamental task in natural language processing (NLP) that involves categorizing textual data into predefined classes or categories. Recently, transformer based models have achieved remarkable success in various NLP tasks due to their ability to capture contextual information effectively. In this study, we explore the use of the Transformer-RoBERTa model for text classification. Classification of texts is a frequent NLP task in which text is assigned a label or class. One of the most common types of text categorization is sentiment analysis, which labels a sequence of text as positive, negative, or neutral
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