Faculty members of Woxsen University are encouraged to share and expand their skills by taking up projects sponsored by the Corporates. These projects are categorized as Knowledge Transfer and aims to bridge the gap between academia and industry. Below are the completed list of knowledge transfer taken by our faculty members across the schools
Consumer Purchase Behaviour towards Indian Organic Food Product – An NLP based Sentiment Analysis Approach
-NLP was used to analyse reviews of a particular Manufacturer of organic food products that were scraped from the e-commerce platforms to determine whether the product helped individuals in terms of cost and health.
Covid-19 Vaccine Hesitancy
+With an MoU to access the dataset for Covid- 19, we performed an analysis for different countries and determined the reasons why some individuals are choosing not to receive the COVID-19 vaccination.
AI Powered Intelligent Video Recommendation
+Identifying the best advertisement prepared for a product by the company to promote it in social media. Nowadays, companies are spending more money in making advertisements and promoting it in social media. With our app, companies can identify which advertisement people will prefer and like to watch.
Resume Finder
+A Natural Language Processing based project to assist HR managers to shortlist the candidates resumes using keywords.
SUBCONTRACT IN THE FRAMEWORK OF WELLNESS PROJECT (2024) - University of Cyprus
+Dr. Balaji Venkateswaran's sanctioned project under the University of Cyprus has a duration of one month, with a sanctioned amount of 44,9627. This short-term project is designed to follow an intensive and efficient timeline to achieve its objectives. Collaborators and team members are encouraged to actively contribute, ensuring the project’s success within the allocated timeframe.
Web Scrapping to Secure PI Data (2024) - OPPLANE Inc, USA
+Dr. Kiran Kumar Ravulakollu's project, sanctioned by OPPLANE Inc., USA, has a duration of three months with a total sanctioned amount of $3,750 + $7,500. This timeline provides ample opportunity for comprehensive research, development, and implementation. Active collaboration will be essential to successfully achieving the project's objectives.
Data-Driven Transportation Analytics: Multi-Modal Data Fusion with Predictive Modeling Towards Enhanced 2W Safet (2024) - IIIT Hyderabad
+Dr. Jaswanth Nidamanuri's project, sanctioned under IIIT Hyderabad, has a duration of 12 months with a sanctioned amount of ₹100,000. This year-long initiative offers a comprehensive timeline for in-depth research, development, and execution. Team members are encouraged to collaborate effectively to ensure the successful achievement of the project's objectives within the stipulated period.