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Current Projects
Current Projects
Knee Osteoarthritis grading
Knee Osteoarthritis grading
The project focusses on automated grading of Knee Osteoarthritis using Osteoarthritis Initiative (OAI) dataset provided by National Institute of Health (NIH) USA.
usb trace x
usb trace x
USBTraceX is a forensic tool that extracts and analyzes USB device history from Windows registry hives.
Omni LLm
Omni LLm
OmniLLM is a LAN-hosted offline website that consolidates multiple self-hosted LLMs, allowing users to interact with various AI models without internet access.
Oriented weapons detection
Oriented weapons detection
The project is focusing on generalizing oriented weapons detection models on a diverse dataset with a variety of weapons types and angles.
Efficient recomender system
Efficient recomender system
The project is targeting Large Language Models (LLMs) that can be used to improve recommendation systems and make better suggestions for users.
Text classification
Text classification
The project focuses on developing efficient and accurate models for categorizing academic papers into multi-level taxonomies, leveraging advanced techniques like curriculum learn.
Real/fake Clutural heritage sites
Real/fake Clutural heritage sites
The project is focusing on using GANs for real/fake image classification of Buddhist Cultural Heritage Sites around Taxila.
Personalized Recomender system
Personalized Recomender system
The project is implementing a multi-pipeline approach combining large language models (LLMs) and traditional algorithms is being implemented to improve personalization.
Context aware news classification
Context aware news classification
This research on context-aware news classification leveraging semantic understanding aims to enhance the accuracy and relevance of news categorization by incorporating contextual and semantic features.
Previous projects
Previous projects
optical coherence tomography classification
optical coherence tomography classification
The research focussed on designing a light weight model architecture that can achieve state of the art accuracy.
synthetic image classification using Vit
synthetic image classification using Vit
This research focused on an extensive comparison of various data augmentation techniques to see effective ones.
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