Master's Projects from 2025
SemanticGraphRec: Lightweight Hybrid Recommendations Powered by Semantic Item Representations and Graph Collaborative Filtering, Devi Surya Kumari Akula
Landslide Prediction Using Time-Series Decomposition, Reinforcement Learning-based Feature Selection and ML Models, Mohith Sai Venkat Ankem
Multilingual Sentiment Analysis Using Ensemble Learning, Farhan Ansari
Enhancing Code Review Automation with Large Language Models using QLoRA Fine-Tuning and RAGs, Sumukh Naveen Aradhya
On the Adversarial Robustness of Quantized Neural Networks Against Common Adversaries in Time-Series Forecasting, Maanak Arora
PHISHING DETECTION USING CONTINUAL LEARNING AND LARGE LANGUAGE MODELS, Gopi Prajeev Battula
Real-time Adaptive Framework for Topic Modeling in Social Engineering Attacks, Manav Bhasin
GeneGate: Genetic Gating in a Mixture-of-Experts for Real-Time Multi-Objective Traffic Signal Control, Rashmi Vishwanath Bhat
Link Failure Localization in Hierarchical, Multidomain Optical Networks, Martin Mihailov Bojinov
Synthetic Malware Generation using Generative AI, Phanidhar Sai Sravan Chandana
Large Language Model powered ETL Pipeline Development A Project Report, Aditya Chandras
PhysioTrack: A Gamified Physiotherapy System, Pranavi Chaturvedula
Large Language Models for Bacterial Genomic Analysis, Manvendra Chavan
Enhancing Recommender Systems Using Graph Neural Networks, Long Short-Term Memory and Textual Embeddings, Tianxiang Chen
GaLoRA: A Lightweight Graph-Aware LLM Framework for Node Classification on Text-Attributed Graphs, Mayur Choudhary
Reinforcement Learning-based End-to-End Monitoring Path Selection in Multi-domain Optical Networks, Soham Choudhury
Bot Detection in Social Media using GraphSage and BERT, Abhishek Deshmukh
Moving Target Defense with Quantized Morphence: Defense Quantification Against Common Adversaries in Image and Time Series Problems, Rithika Dhamala
Suicidal Ideation Detection on Reddit using LLM-Annotated Data and Graph Neural Networks, Ikbal Singh Gurdev Singh Dhanjal
Traffic Forecasting with VSET-Nets: A VGAE Spatial Embedding for Temporal Networks Approach, Mrunmayee Dhapre
Machine Learning based Network Traffic Classification with Cosine-Similarity based Out-Of-Distribution Detection, Prabhat Edupuganti
Image-to-Text Transcription: Analyzing and Describing Visual Content, Zixiao Fan
Improving Contextual Retrieval for Long Documents in Q & A systems, Sakshi Garg
Faux Capabilities: A novel approach for code analysis, Tanay Godse
Augmenting Missing Sensor Data for Robust Human Activity Recognition, Suryakangeyan kandasamy gowdaman
FRAMEWORK FOR IDENTITY PRIVACY THROUGH GENDER BASED SKELETONIZATION, Harrison Hwang
Malware Opcode Embedding and Quality Assessment of Generative Sample Embeddings, Atishay Jain
RIFT - Reddit Information Falsity Tagger, Parth Joshi
Optimizing Analytics Storage Strategies for Search Engines and Wiki Platforms, Sujith Kakarlapudi
Malware Generation and Classification using PixelCNN, Mounika Krishna Teja Karumudi
MediLightRAG: A System for Medical Query Response Using Fine-Tuned LLMs and Graph Based Retrieval, Rajiv Karthik Reddy Kodimala
VisionMate: AI-Powered Image Captioning Web Application, Sai Anoushka Kokku
MyCelia: Cross-chain Data Oracle using FROST signatures, Bala Komatireddy
Comparative Analysis of Embedding Techniques with Clustering Algorithms for Malware Opcodes, Ayush Koul
Advanced Knowledge Extraction with Biomedical Data Using LLMs, Akshat Krishna
Effects of Data Augmentation on Sponge Identification Using Computer Vision Models, George Ku
Simple vs. Complex Human Activity Classification via Hybrid Machine Learning Models, Anusha Kukreja
Application of Advanced Convolutional Neural Network with Robust Hashing on Obfuscated Image Based Malware Dataset, Sanket Shekhar Kulkarni
Unconditional-to-conditional Transfer and Optimization for Web-based Skybox GAN, Crystal Kwong
Two-Stage Emotion Detection from Multimodal Data, Xiangyi Li
riboMoE: An Application of Mixture of Experts on Artificial Riboswitch Classification, Hainian Audrey Long
Transformer Integration, Fine-tuning and Zero-Shot Learning for State of Health Estimation in Li-ion Batteries using Large Language Models, CHINMAY NILESH MAHAGAONKAR
Clustering Organ Cell Types, Venkata Satya Swathi Mattaparthi
Gen Ai for Malicious Network Data, Aneesh Maturu
Energy Considerations for Large Pre-trained Neural Networks, Leo Mei
SECURED DATA STORAGE MANAGEMENT WITH DEDUPLICATION IN CLOUD COMPUTING AND LOCAL GPT INTEGRATION, Pavan Myana
AI-Enabled Anticipatory Handover Predictions in 5G Networks, Ojas Ankush Naik
An Evidence-Based Approach to Predicting Pancreatic Ductal Adenocarcinoma, Surya Teja Nalluri
Identifying Red Sponges on ARMS Plates by Preprocessing Images using Histogram Equalization, Barry Ng
Toward Strategy Identification and Subtask Decomposition In Task Exploration, Tom Odem
Retrieval-Augmented Generation (RAG) Chatbots: A Comparative Study of Claude, GPT-4o, DeepSeek, and Llama, Kalindi Vijesh Parekh
Transformers in Time-Series Forecasting: Enhancing Robustness via Dynamic Attention Mechanisms, Kush Patel
Enhancing Robustness of CNN Model for Malware Detection using GAN-Based Data Augmentation and Transfer Learning, Milind Anand Pathak
HIERARCHICAL BLOOM FILTER TREE (HBFT): SCALABLE GEOSPATIAL METADATA INDEXING FOR BIGDATA SYSTEMS, Mrudula Patteparapu
AI-Based Dynamic Spectrum Allocation Model for Wireless Network Management, Sai Sashank Peddibhotla
Human vs. LLM: Interpreting Emotion from Neutral Faces in Contextually Charged Backgrounds, Sai Mounika Peteti
RUL Estimation of N-CMAPSS Turbofan Engines using Deep Learning with Customized Penalty and Expanded Sensors, Prathmesh Pethkar
Multimodal Feature Fusion and Machine Learning for ADHD Detection Using Neuroimaging Data, Isabel Pham
AI Powered Legal Decision Support System, Alisha Rath
Transforming Chatbot Text: A Sequence-to-Sequence Approach to Human-Like Text Generation, Natesh Reddy
PERFORMANCE COMPARISON OF MACHINE LEARNING ACROSS METAL, CUDA, AND NEUROMORPHIC FRAMEWORKS, Ryan Saini
Optimization of Permutation Flowshop Scheduling Using an Island Genetic Algorithm for Makespan Minimization, Sahil Salim
TraceAI: Intelligent Distributed Tracing Using Large Language Models, Mihir Dhirajlal Satra
Dynamic Pricing for Revenue Maximization in 5G Networks with Elastic Network Slicing and Reinforcement Learning, Naisheel Shah
Proxy Cap - La Lua Protector, Swift Sheng
DETECTING AI-GENERATED NEWS ARTICLES USING UNSUPERVISED MACHINE LEARNING ALGORITHMS, Lilou Sicard-Noel
Comparative Analysis of Adversarial Permeability in CPU-native, QAT and ONNX-based Quantized Transformer Models, Fahad Siddiqui
Homomorphically Encrypted Faceted Values, Tanmay Singal
SMART: Semantic Mapping and Analysis for Regional Terrain Using Multi-Scale U-Net and TOPSIS, Rashmi Sonth
DISEASE DIAGNOSIS USING RAG LLM WITH SMART PROMPT ENGINEERING, Qadeerullah Syed
CCA Analysis using Computer Vision Techniques, Rahul Thakur
AUTOMATED SPONGE SEGMENTATION WITH MASK R-CNN ON ARMS PLATE IMAGES FOR REEF MONITORING, Mrunali Abhijit Thokadiwala
Adaptive Cobot Interaction via Smartwatch Data Fusion for Car Assembly Automation, Riddhik Tilawat
Extraction of a Knowledge Graph of Biomedical Relationships, Brian Tran
MAPLE: Malware Analysis through Projection of Low-dimensional Embeddings, Quang Duy Tran
Coral Vision – Crustose Coralline Algae Detection with Computer Vision, Ryan Tseng
Optimizing Integrated Access and Backhaul Topology using Monte Carlo Tree Search, Srimanth Reddy Ummenthala
PhotoProof: A Mobile Application for Verifying the Authenticity of Images, Pruthviraj Urankar
EduRAG: Improving AI Teaching Assistants with Retrieval-Augmented Generation, Geethika Vadlamudi
Retrieval-Augmented Generation for Survival Analysis in Cancers: Methods and Evaluation on the Surveillance, Epidemiology, and End Results Database, Jyothi Vaidyanathan
Mitigating Cold Start Problem through Metadata Integration and User Preference Analysis, Prabaljit Walia
Social Engineering Scenario Generation for Awareness-Based Attack Resilience, Jade Webb
Domain-Specific Graph RAG Pipelines: Optimized Approaches for Building Efficient Personal Knowledge Repositories, Omkar Yadav
Master's Projects from 2024
A Two-stage Machine Learning Approach for Fake News Detection and News Article Categorization, Snegdha Adusumilli
Gradual Typing for Information Flow Control in Typescript using ES Lint, Ashish Agarwal
Gesture Recognition Dynamics: Unveiling Video Patterns with Deep Learning, Nithish Reddy Agumamidi
Deciphering Speech through Vision: A Deep Learning Lip Reading System, Srujith Rao Ambati
Frame Rate Enhancement using GANs: A Deep Learning Approach, Shanmukah Sri Harsha Anivilla
Enhancing Environmental Health and Safety: Fine-Tuning Large Language Models for Domain-Specific Applications, Mohammad Adil Ansari
Exploring Fluctuations in Working Memory Load through Pupillometry using Gabor Image Deletion Tasks, Neenu Antony
NFT Price Prediction using Machine Learning, Akhil Patil Bagili
Image Segmentation by Convolutional Neural Networks in Coral Resilience Research, Jennifer Benbow
Optimization of Inter-Satellite Routing using LSTM-based Path Prediction Model, Yash Bhamare
Robustness of Learning Models to Label Flipping Attacks, Sarvagya Bhargava
AI-Driven Credit Card Fraud Detection with Enhanced User Interaction, Toshi Bhat
Analysis and Application of Adaptive ML Algorithms for Malware Classification, Rashmi Boddukuri
Parallel Powerplay: Optimizing Performance with MapReduce and Kubernetes Fusion, Shradha Chaturvedi
Enhancing Medical Chatbots with Image Diagnosis, Swatisri Chavali
