| PROJECT TITLE | TECHNOLOGIES | STUDENT(S) |
|---|---|---|
| Development and Comparative Evaluation of LLM-Based AI Playtesters for Personality Driven Behaviour Simulation | Python, PyTorch, mathplotlib, Godot, Hugging Face, GitHub, Docker, Large Language Models, Deep Reinforcement Learning, Monte Carlo Tree Search | Ben Stynes |
| Machine Learning Models for Predicting Potato Variety Performance Across Environments | Python, Pandas, Numpy, Sci-kit Learn, Tensorflow, Jupyter Notebook, Machine Learning and Statistical Models | Md Munimul Islam |
| AA-Based Heart Disease Prediction and Risk Factor Analysis using Applied Artificial Intelligence | Multilayer Perceptron, LR, RF, SVM, XGBoost, Python, Streamlit | Venkata Ramana Gangasani |
| Smart factory production using ai digital twins for prediction and optimization | Raspberry PI, temperature, voltage and current sensors, Python, Solidworks, Microsoft Azure, Babylon.js, ML models | Noel Crean |
| AI for smart agriculture: Precision agriculture through crop health monitoring using edge-based IoT sensor data and AI modeling | Python, Pandas, Numpy,Sci-kit Learn, Tensorflow, Jupyter Notebook, Machnine Learning and Statistical Models | Mohammed Fazal Shaik |
| A Voice-Enabled Retrieval-Augmented AI Assistant for Safe and Accessible Type 2 Diabetes Self-Management in Geriatric Patients | Python, Pandas, Numpy, Tensorflow, Large Language Models, Deep Reinforcement Learning, Monte Carlo Tree Search | Sri Rama Lakshmana Karthikeya Varma Nagaraju |
| Fall Detection System using ML Models | SVM, RF, CNN, LSTM, Python | Abdullah Khalid |
| Aspect Based Sentiment Analysis | Python, Pandas, Numpy,Sci-kit Learn, Tensorflow, Jupyter Notebook, Machnine Learning and Statistical Models | Muhammad Abdullah |
| Investigating Sentiment Analysis in Code-Mixed Benagli English Langauge | NLP; LLMs; Deep Learning; PyTorch; Keras/Tensorflow | Shadbin Akter |
| MACHINE LEARNING BASED DEFECT PREDICTION IN SOFTWARE TESTING | Python, Pandas, Numpy, Sci-kit Learn, Tensorflow, Jupyter Notebook, Machine Learning Models | Yashwanth Pallapu |
| AI-Enabled Optimisation of Potato Breeding Crosses Using Genotypic, Phenotypic, and Pedigree Data | Python, Pandas, Numpy, Sci-kit Learn, Tensorflow, Jupyter Notebook, Machine Learning and Statistical Models | Daksh Yogesh Prajapati |
| Detecting Physical Aggression for Privacy-Preserving Video Surveillance using Deep Learning | Deep Learning; Large Image Models; Python; Keras/Tensorflow | Ashmaan Balan Shaikh |
| Uncertainty-Aware Deep Learning for Risk-Sensitive Early Warning of Clinical Deterioration from Hourly Vitals and Labs | Deep Learning, Machine Learning Models, Python, Keras/Tensorflow, Pandas, Numpy, Sci-kit Learn, Tensorflow, Jupyter Notebook, MC Dropout | Hema Priyanka Talluri |