Odisha University of Technology
and Research
and Research
Navigation
Skill Odisha collaboration with Tech Mahindra has set up a Center of Excellence in Artificial Intelligence. This lab is also used for taking up commercial activities for the government sectors, local industries of Odisha to help them harness the benefits of AI in their field of activity. This lab will also help to tap the potential of the students of Odisha to address the evolving technology needs of local industries, besides significantly improving their skills and future employability.
Phonetic search refers to a type of search algorithm that takes into account the sounds of words, rather than just their spellings, when searching for matching results.
The frontend part of this application is developed using HTML and CSS and the backend part is developed with Python and Django as database.
A FAQ (Frequently Asked Questions) system is a software application or feature that provides a collection of questions and answers related to a particular topic or product. The system is designed to help users quickly find answers to common questions without having to contact customer support.
The frontend part of this application is developed using HTML and CSS and the backend part is developed with Python and Django as database.
Sentiment analysis is the process of using natural language processing (NLP) and machine learning techniques to identify and extract subjective information from text, such as opinions, emotions, and attitudes. The goal of sentiment analysis is to classify text into categories such as positive, negative, or neutral.
Text summarization using NLP (natural language processing) is the process of using machine learning algorithms to create a condensed version of a larger piece of text while preserving the most important information. The goal of text summarization is to provide a quick and accurate summary of the original text, which can be useful for tasks such as information retrieval and content summarization.
Text summarization using NLP is the process of using machine learning algorithms to create a condensed version of a larger piece of text while preserving the most important information. Text generation using NLP is the process of using machine learning algorithms to generate new text based on existing text data. The goal is to create coherent and meaningful sentences, paragraphs, or even entire articles that resemble human-written text.
PMFBY (Pradhan Mantri Fasal Bima Yojana) Loan disbursement scheme — automated process of ML techniques to calculate the claim percentage as well as the specified amount without human intervention. This seamlessly reduces loan disbursement time by over 37%. The system leverages advanced machine learning algorithms to streamline the process and reduce manual errors.
Bilingual AI Based App for Cardiac Risk Prediction for Rural Areas Based on Non-Medical Vital Inputs. The mobile app collects and analyzes non-medical vital inputs such as lifestyle habits, physical activity levels, diet, stress levels, and family history. The bilingual feature allows users to input data and receive feedback in their local language, overcoming language barriers in rural healthcare access.
A profanity and PII (personally identifiable information) filter is a type of software application designed to automatically detect and filter out inappropriate language and personal information from text data. Commonly used in social media platforms, online forums, and messaging applications to prevent the spread of offensive or sensitive content.
The goal of this project is to develop an innovative system that utilizes AI to enable images to "speak" in a manner similar to input videos. This image-to-speech synthesis system converts still images into realistic video-like content with synchronized speech, leveraging deep learning techniques such as CNNs and RNNs to analyze visual features and map them to corresponding speech patterns using NLP algorithms.
A user-friendly platform that helps individuals find hospitals and doctors located near them by using their IP or GPS location. With a simple interface and intuitive design, users can quickly search for healthcare professionals in their vicinity.
Frontend: HTML, CSS, Javascript. Backend: Python.
India Patents Office No- 202331002146
This is an end to end application that detects health abnormalities based on user input through a smartphone or web based input. Involves all sorts of emergency based services like ambulances, blood banks etc.
Published in Cornell University's Arxiv
Deals with a review of all the applications of AI in the educational sector — pros, cons, and ethical implications. Covers Intelligent Tutoring Systems, Smart Assessments, and more.
Published in IEEE
Novel Algorithm for diabetic retinopathy detection from medical images using Discrete Wavelet Transform (DWT).
Published in IEEE Xplore
Hybrid Algorithm for detection of frequent items in Data Mining Based Operations.
To be Published in IEEE Xplore
Deep Learning based approach for identification of Big-4 Snake Species in the Indian Subcontinent. CNN Based Approach to compare and evaluate various models for identification of Big 4 snake species.
Published in IEEE TechRxiv & ICCCT'23
An Intelligent Multilevel Parking System for Smart Cities.
Department Course