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Project - AI Powered NFT Platform using Cardano 1.Building AI-generated artwork through tools like Eponym 2.Storefront The dashboard provides collective information of an NFT: its owners, preview or price history. 3. Advanced Token Search 4.Supports tagging and category management for advanced search functionalities 5. Filters Facilitates easy navigation, enabling users to select items by payment method, category, listing status, and collection. 6. Creating Listings Allows users to create and maintain the collection of its NFTs, along with token information such as name, tags, description. 7.Bidding Option 7.Users can bid for NFTs listed on the platform 8.Wallet Integration(Optional) Wallets are required for storing, sending, and receiving non-fungible tokens. Ratings Provides an idea of the trending or in-demand NFTs In progress
Project - Differential Privacy on Genomic Datasets using IBM library - diffprivlib Key objective is to get familiarization on Differential privacy concepts and apply it specifically on the use case related to Health sector using IBM diffprivlib library In progress
Project - Secure messaging by redacting sensitive data Apply AI and other modern algorithmic techniques to solve this problem for secure data exchange In progress
Project - Converting Text to a Mental Map or a Diagram Apply AI and other modern algorithmic techniques to solve this problem for easy consumption of data by humans In progress
Project - Text Classification using unlabelled data and weak supervision using domain knowledge The objective is to build a supervised model with weakly labeled data. The model will consider domain information to improve the classification performance. In progress
Project - Regression Rules for Predicting Business Process Execution time Business process predictive analysis provides aims to improve operations by predicting remaining time of a partial running process instance and thus identifying delays in the process before they can occur. However, for high stake short running process instances, it is important to identify risks at the start of the process instance. We attempt to mine rule-based decisions from historical instance. The objective of this work is to evaluate existing rule induction methods and compare them with neural network based rule extraction methods. In progress
Project - Mentor and Mentee Platform To be able to monitor and prove allegations against a mentor or student, we must have some basis. Thus, creating a platform where all interactions between the students and mentors may it be in the form of text messages, voice calls or video calls will be recorded and processed by us. In progress
Project - Generating Predictions and Explanations for Business Processes Using Graph Neural Networks The objective of this project is to explore the use for Graph Neural Networks based predictions that model relevant attributes of the business process and provide explainable predictions. The task of prediction process outcomes and next activity will be explored in this work. A method to evaluate the explanations will also be developed. In progress
Project - Quantum modelling of Molecules Molecular modeling using quantum computation employing techniques such as Quantum Genetic Algorithms (QGA), Variational Quantum Eigensolver (VQE), and Quantum Annealing. In progress