Our Innovation

The VR Mall Introduces a 3D Model Apparel Try-On system, enabling customers to try on clothing for realistic size assessment virtually. This immersive shopping experience, resembling a physical store, integrates a seamless apparel checkout process with diverse payment options and robust security measures. Personalized recommendations based on user preferences enhance satisfaction while the system prioritizes data security. By combining technology, convenience, and realism, the VR Mall redefines online apparel shopping, setting a new standard for virtual retail experiences.

An LLM playground is a comprehensive and interactive environment in the context of a one-stop platform for AI models. This platform allows users across diverse industries to interactively experiment with different AI models and input prompts and witness their impressive responses. Bridging the gap between technology and application, the LLM Playground empowers industries to harness the potential of advanced language models for exploration, discovery, and tailored solutions. Beneficiaries: Healthcare, Retail, Education, Telecommunications.

Iron Man Suit is a wearable suit with Jarvis enabled for intelligent assistant; it can control smart home devices through voice command and has access to different sensors to get a feed of other locations in real-time. It will also automatically send small robots to desired locations to handle situations like fire accidents, etc.

The VR Campus tour is an immersive and innovative way for prospective students, parents, and visitors to explore a university or college campus without physically being there. Using virtual reality (VR) technology, participants can use a VR headset and experience a lifelike representation of the campus in stunning detail.

The third eye is a semi-autonomous robot that can navigate through the observing camera. It is, therefore, named Third Eye, as we have an observer to observe the robot and the environment itself; in addition to that, as the environment is limited due to the camera feed, it can be further increased using more cameras. Tasks can be embedded in the system to perform a specific task autonomously.

Our project aims to introduce an innovative AI Avatar Chatbot designed to facilitate engaging and dynamic question-and-answer interactions in the rapidly evolving digital communication landscape. This interactive and user-friendly chatbot leverages artificial intelligence to enhance user experiences, providing a personalized and efficient means of obtaining information.

Building of AI model to convert 2D to 3D models-Advertflair, USA It is mainly for the online store. For instance, just 3 to 4 photographs are submitted for each product on Amazon.com when someone wishes to buy it. The purchasers will need a more robust understanding of the goods from the pictures. Buyers will receive more details about the product, such as length, width, front and back appearance, etc. if we convert 2D photographs to 3D images. In simple terms, the buyers can view the image in 360 degrees.

The proposed research project aims to develop a complete solution for a Realistic Healthcare Management System for Type-2 Diabetes Mellitus (RHMST2DM). The product will comprise two main components: Predictive Analytics and Recommender Systems. Finally, a knowledge-based interface (Android Application) will be designed to integrate all the components of the project work in the form of the complete product. The system will help healthcare professionals provide better service to patients in the healthcare industry. It will also help the patients because they may be predicted at the initial stages of the disease. Early prediction and proper diagnosis can reduce complications, even the fatality rate of Type-2 Diabetes in India.

Funding Agency:  Woxsen Future Lab, Woxsen University, Hyderabad, Telangana, India.

Amount: 5,05,000 (Five Lakhs and Five Thousand Only)

Duration: 36 Months

PI/Co-PI’s: Principal Investigator: Dr. Shahid Mohammad Ganie  (Assistant Professor, AI Research Centre, Department of Analytics, School of Business, Woxsen University)

Co-Principal Investigator: Dr Hemachandran K  (Professor and Director of AI Research Centre, School of Business, Woxsen University)

Research Associates: Bobba Bharath Reddy (B.Tech 3rd Year, Course: Data Science & AI & ML, School of Technology, Woxsen University).

Alluri Druthi Sai Sri Varma (B.Tech 1st Year, Course: Computer Science Engineering, School of Technology, Woxsen University).

Sowmya Saluru (B.Tech 1st Year, Course: Computer Science Engineering, School of Technology, Woxsen University).

Analyzing sports, especially in cricket, regarding posture recognition, fitness assessment, and predictions on team or player performance using AI Methods.

To enhance women's safety in public areas, prevent crimes such as ragging and kidnapping, enable swift response and assistance for women in distress or facing potential threats, and promote gender equality and inclusivity by empowering women to participate fully in public life, a comprehensive approach is essential.

We are building a recommendation system for this research foundation using NLP and transfer learning. Any person who likes to ask a question related to Nayas and Shastras. This model can answer for it.

PetThinq. AI, USA: We are building a facial recognition model for cats and developing an edge monitoring device for pets using computer vision and AI.

This project enables universities to share files like research papers via blockchain with other universities upon request. It empowers senders to control link validity, ensuring secure and timely sharing. Files are stored on IPFS and automatically deleted upon download or sender’s preference, fostering efficient and controlled collaboration.

Our Smart Wickets with Analytics is a low-cost replica with the same efficiency as Zing wickets. The camera in our wicket is connected to an AI system that can track the ball’s movement and determine whether the player is out (DRS System). We have a Dashboard for explicit notification of different decisions.

• At the heart of “ENVIROFEAST” is a mission to combat food waste. By championing efficient storage and distribution and promoting responsible consumer behaviour, they’re sowing the seeds of sustainability in dining practices.


• Local Impact, Global Vision The team’s relentless efforts are reshaping surplus food management and channelling it to nearby nursing homes and orphanages in Kamkole, Hyderabad, India. It’s a small step with a significant impact.


• AI and Sustainability Unite Powered by the synergy of AI and sustainability, ENVIROFEAST stands as a testament to innovation. Their collaboration with the AI Research Centre at Woxsen University showcases the transformative potential when technology meets social responsibility.


• Applauding Change-makers Let’s applaud the dedication of the ENVIROFEAST team and the AI Research Centre at Woxsen University. They’re not just imagining a brighter future but actively building it—one meal at a time.

The primary objective of this project is to develop and enhance weather forecasting models and early detection systems using remote sensing technologies. The project aims to improve the accuracy, timeliness, and spatial resolution of weather predictions, thereby mitigating the adverse effects of severe weather conditions and supporting disaster preparedness and response.

Our project on sleep stage classification and sleep apnea detection is a cutting-edge initiative conducted in collaboration with Sleep Therapeutics Hospital in Hyderabad. This project leverages real-time signals acquired from patients during their sleep studies. By utilizing advanced machine learning algorithms and signal processing techniques, we aim to accurately classify different sleep stages and detect occurrences of sleep apnea. Our goal is to enhance diagnostic accuracy and provide timely insights for better patient management, ultimately contributing to improved sleep health and quality of life for individuals affected by sleep disorders.

Development of OCR based model for extracting manifest data from pdf scanned/unscanned images containing manifest information while maintaining the structure of data stored from the manifest in CSV which is easily accessible for further processing

A network of connected and self-driving vehicles. We are developing a Vehicle-to-vehicle (V2V) communication system with advanced LiDAR and camera sensors, and on-board autonomous driving computers which will increase highway capacity, improves fuel efficiency through coordinated movements, and enhances safety by eliminating human error. The benefits of this project will be to reduced traffic congestion, lower emissions, and safer transportation overall

A hardware-software integration for medication administration. It aims to develop a Smart pill dispensers with biometric authentication and real-time dosage monitoring with the help of AI algorithms that analyze patient data (genetics, medical history) to personalize medication dosage which in turn Reduces medication errors, optimizes treatment efficacy, and minimizes side effects

Emerging technologies like robots and artificial intelligence (AI) are revolutionizing many industries as we strive for a sustainable future. Necrobotics, the merging of robotics and AI with an emphasis on sustainability, is one promising area with a lot of potentials. Necrobotics provides creative solutions to address environmental concerns and advance sustainable development by utilizing the capabilities of intelligent machines. This article examines how necrobots might help create a greener future by emphasizing crucial uses and the radical change they can bring about in sustainability.

Necrobotics is a significant ally in our effort to achieve sustainable development. Robotics and artificial intelligence skills are used in this developing subject to give creative solutions to environmental problems in many fields. Necrobotics provides enormous potential for building a more sustainable and greener future, from smart cities to trash management, environmental monitoring, renewable energy systems, and precision agriculture. To establish a sustainable development path that benefits both people and the environment, it is essential to guarantee ethical concerns, transparency, and fair access as we continue to research and utilize this transformational technology

From stethoscopes to tongue depressors, doctors rely on many tools to treat their patients. Physicians use electroencephalography with critically ill patients to detect seizures and other types of brain activity that can cause brain damage.

• Currently, EEG monitoring relies solely on manual analysis by specialized neurologists. While invaluable, this labor-intensive process is a major bottleneck. Not only can it be time-consuming, but manual review of EEG recordings is also expensive, prone to fatigue-related errors, and suffers from reliability issues between different reviewers, even when those reviewers are experts.
• Our work in automating EEG analysis will help doctors and brain researchers detect seizures and other types of brain activity that can cause brain damage, so that they can give treatments more quickly and accurately. The algorithms developed may also help researchers who are working to develop drugs to treat and prevent seizures.

Decentralized exchange exclusively for Woxsen Ecosystem. A platform where departments will be listed as publicly traded companies, with their stock prices reflecting their performance, achievements, student success, research endeavors, patents, and collaborations within various fields.

The NMA is a conversational AI assistant trained in narrative medicine techniques and social psychology.

• Active Listening & Storytelling: Uses NLP and sentiment analysis to actively listen to patients, guide them through storytelling prompts about their health experiences, and identify underlying emotional and social factors influencing health.
• Personalized Health Education: Analyzes patient narratives and generates culturally sensitive, engaging educational materials tailored to their needs and backgrounds
• Support Group Matching: Utilizes social network analysis to match patients with others who share similar health experiences, fostering community and peer support

The GCC is a virtual learning platform that utilizes AI and collaborative learning tools combined with history, anthropology, and global communication studies.

• AI-Driven Personalized Learning: Adapts to students' learning styles and cultural backgrounds, providing personalized learning paths and culturally relevant content.
• Global Collaboration Projects: Leverages AI translation tools to facilitate real-time, collaborative projects between students from different cultures on global challenges.
• Immersive Cultural Experiences: Utilizes virtual and augmented reality to create immersive simulations of historical events and cultural practices across different societies.

Implementing Geographic Information Systems (GIS) with Augmented Reality (AR) for rural development combines spatial data with immersive technology to enhance planning and management in underserved areas. By integrating GIS, which provides detailed maps and spatial analysis, with AR, which overlays digital information onto the real world, rural development projects can visualize and interact with data in innovative ways. This approach enables stakeholders to see real-time data about infrastructure, land use, and environmental conditions directly in their physical context, facilitating better decision-making, resource allocation, and community engagement. For instance, rural planners can use AR to visualize proposed changes in infrastructure, while farmers can access real-time data about soil conditions and crop health. Overall, this integration supports more effective and responsive rural development strategies, ultimately improving quality of life and fostering sustainable growth in rural communities.

Augmented Reality (AR) based Employee Profile Management System that streamline employee identification, by providing real-time employee information through an AR interface fostering a more dynamic and interactive work environment by leveraging advanced technologies. Employees will further their application, easing the identification process through face recognition technology and providing real-time updates via an interactive AR display

We are developing a chatbot that could answer questions from users about the content of PDF files in a variety of languages using both text and speech was the main objective of this project. To accomplish these goals, the study made use of sophisticated machine learning models, a variety of software tools, and natural language processing approaches.

Objectives

• Develop a chatbot that can read and understand PDF documents.
• Implement multilingual support for both text and voice interactions.
• Enable users to upload their own PDFs and query the content.
Enable users to upload their own PDFs and query the content.
• Ensure accurate and contextually relevant responses from the chatbot.
• Create a user-friendly interface for seamless interaction.