• Forecasting the Dynamics of Cryptocurrency Rates by Inspecting Technical Patterns 

  Abdul Wahab, 01-249232-001 (Computer Sciences, 2025)

  The unprecedented growth and extreme volatility of the cryptocurrency market have created an urgent and persistent need for reliable and precise forecasting models that can assist investors, traders, and financial analysts ...
• Impact of Immersive Virtual Reality on Effectiveness of Operating System Core Concepts 

  Anila Habib, 01-249232-002 (Computer Sciences, 2025)

  The use of immersive technologies in education has transformed the way complicated technical concepts are taught and understood. Immersive Virtual Reality (IVR), in particular, promotes interactive and experiential learning, ...
• Dominance Rough Set Theory and Machine Learning based Counterfactual Analysis for Improving Neurodevelopmental Disorder Diagnosis 

  Ziyad Anjum, 01-249232-021 (Computer Sciences, 2025)

  The adoption of Machine Learning into digital platforms is rapidly accelerating progress in many areas, and making it more possible than ever to create efficient and reliable automated healthcare solutions. In the recent ...
• Predicting Student Outcome Using Machine Learning 

  M. Umair Ul Islam, 01-249232-013 (Computer Sciences, 2025)

  In recent years, the rapid expansion of Virtual Learning Environments (VLEs) and online education platforms has significant ly transformed higher education, simultaneously introducing new challenges such as increased student ...
• Explainable AI for Stock Market Price Prediction: A Hybrid Model for Improved Transparency and Decision-Making 

  Arifa Amir, 01-249232-004 (Computer Sciences, 2025)

  Stock markets are dynamic, stochastic, and non-linear in nature, and the price prediction of stock markets has long remained a complex problem. In recent years, deep learning has gained a lot of hype and depth, with models ...
• Pixels to Phrases: Bridging Vision and Language 

  Zahid Zaman, 01-249231-020 (Computer Sciences, 2025)

  This thesis presents a context-aware image captioning framework that bridges the gap between visual perception and natural language generation by combining deep learning with structured semantic reasoning. While conventional ...
• A Lightweight Tiny ML-Based Resource Management for Health Monitoring Using LoRaWAN 

  Muhammad Bilal, 01-249232-012 (Computer Sciences, 2025)

  The rapid proliferation of the Internet of Things (IoT) has transformed healthcare by enabling continuous monitoring through wearable devices, yet challenges remain in achieving reliable, low-power communication persist, ...
• From Images to Insights: A Deep Learning-Based Strategy for Automated Prognosis of Skin Diseases 

  Emaan Asad, 01-249232-005 (Computer Sciences, 2025)

  Skin diseases pose a worthy of attention in health concern thus millions of people across various demographics. Timely and error-free diagnosis is critical for effective medical care and control but unfortunately there is ...
• A Multi-Modal Video Recommendation Approach for Cold-Start Problem 

  Fawad Ur Rehman, 01-249231-005 (Computer Sciences, 2025)

  Rapid growth of short-video content on platforms such as TikTok, YouTube, Facebook, and Instagram has intensified the demand for robust recommendation systems (RS) that can effectively handle the cold-start problem. ...
• Recommendation System Using Personalized Chat-Bot 

  Muddasir Aziz Khattak, 01-249231-007 (Computer Sciences, 2025)

  Predicting a person’s personality can significantly enhance personalized recommendations across various domains. This study introduces PersonalityBERT, a deep learning model designed to determine personality traits from ...
• Predicting Efficient Outcomes in Trademark and Copyright Cases using NLP Methods 

  Roheen, 01-249231-017 (Computer Sciences, 2025)

  Natural Language Processing (NLP) in the legal domain has been a vibrant area of research for many years, while the ability to process text has effectively increased with the development of AI and NLP techniques. Due to ...
• Ensemble Deep Learning for Precise Thalassemia Classification in Blood Smear Images 

  Jamil Ur Rahman, 01-249222-010 (Computer Sciences, 2024)

  Thalassemia, particularly beta-thalassemia major, is a severe genetic blood disorder that presents significant challenges in diagnosis due to its similarity to other anemias. The lack of advanced diagnostic tools, especially ...
• Classification of Synthetic Acoustic Data 

  Mudassir Ahmed Khan, 01-249222-015 (Computer Sciences, 2024)

  Speech synthesizers may produce extremely accurate sounds that mimics a person’s voice. This capability can be exploited to make false audio recordings, making it impossible to tell between real and fake communications. ...
• Amend the Complementary and Integrative Health Approaches for Untangling Prevalent Health Issues 

  Muhammad Anees, 01-249222-016 (Computer Sciences, 2024)

  The purpose of this paper is to develop a clear understanding of how to apply machine learning for the analysis of clinical data that can advance CIH, besides formal medicines. CIH methods are evolving into more common ...
• Synerdl: Advancing Drug Combination Synergy Prediction with Deep Learning 

  Bibi Amna, 01-249222-004 (Computer Sciences, 2024)

  Predicting drug combinations is crucial for effective cancer treatment. Combining multiple drugs can reduce resistance and improve outcomes. However, identifying these combinations experimentally is costly and time-consuming. ...
• Stance Detection and Analysis on Social Media Political Debates 

  Zain Ul Abidin, 01-2492222-022 (Computer Sciences, 2024)

  The recent years have seen the implementation and analysis of classification models in political discussions on social media platforms, particularly focusing on traditional machine learning and state-of-the-art transformer-based ...
• Empowering Healthcare Communication: Exploring NLP-Enhanced Chatbots for Patient Engagement and Information Delivery 

  Syed Waqar Ali, 01-249222-021 (Computer Sciences, 2024)

  The significance of healthcare technology cannot be overemphasized since with the timely availability of correct medical information, better patient care and outcomes can be achieved. Because more healthcare-related queries ...
• Stable Diffusion in Motion: Enhancing Text-To-Image/Video Animation 

  Shahid Iqbal, 01-249222-018 (Computer Sciences, 2024)

  This research focuses on advancing Text-to-Video generation by leveraging insights from Text-to-Image models. We initiated the project with an extensive literature review, analyzing key methods and models in T2I and T2V ...
• Climate-Resilient Farming: Advancing Short-Term Weather Predictions for Sustainable Agriculture 

  Iffa Shah, 01-249222-009 (Computer Sciences, 2024)

  The agricultural sector of Pakistan is vital but at the same time under threat of significant challenges due to imminent water scarcity and a dire need for sound water management practices. The accuracy of the reference ...
• Suggestive Strategies for Mitigating Adverse Effects in Drug-Drug Interactions 

  Madeeha Asif, 01-249222-011 (Computer Sciences, 2024)

  The purpose of this study is to investigate the Drug-Drug Interactions (DDIs) remains a thorny issue in clinical practice since it drastically affects efficacy of treatments and triggers adverse effects. As disease states ...

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