Projects
Fall 2024
The Inattentive Interview: An LLM-Assisted Clinical Transcript Generation and Analysis Gemini was instructed to transcribe, analyze and generate conversations for a therapy session focused on ADHD. Code
A Machine Learning Approach for Diagnosis and Classification of Periodontitis Applied machine learning to classify and diagnose periodontitis using clinical data.
Summer 2024
Parkinson Detection From Voice Data
Applied deep learning techniques to detect Parkinson’s Disease from voice patterns.
CodeCancer Image Detection
Developed a deep learning algorithm to identify metastatic cancer in image patches from digital pathology scans.
Certificate | CodeBrain Tumor Detection
Designed a machine learning model to detect brain tumors from medical images, including preprocessing and model evaluation.
CodeCounseler Chatbot
Built a chatbot to assist users with mental health issues using predefined conversational intents and information retrieval techniques.
CodeDialogue State Tracking for Chatbots (Bachelor Thesis)
Implemented a dialogue state tracker for an open-domain chatbot using fine-tuned BERT and RoBERTa models combined with supervised learning.
Code
Fall 2023
Python Libraries for Data Mining
Explored Python libraries to improve data preprocessing speed and accuracy in data mining tasks.
CodeEDA and Visualization for Heart Attack Data
Performed exploratory data analysis and created visualizations to classify heart attack occurrences using a biological dataset.
CodeData Cleaning and Feature Engineering
Enhanced model performance by applying feature selection, reduction, and extraction techniques for various machine learning algorithms.
CodeFrequency Pattern Detection
Compared Apriori and FP-Growth algorithms, demonstrating the efficiency of FP-Growth in detecting patterns in large datasets.
CodeAdvanced Methods in Classification
Utilized Random Forest, SVM, and Naive Bayes for gas sensor data classification, including model stacking and hyperparameter analysis.
CodeAdvanced Clustering Methods
Applied KMeans, Agglomerative Clustering, and DBSCAN, using PCA and t-SNE for dimensionality reduction and data visualization.
CodeOutlier and Anomaly Detection
Implemented One-Class SVM and Local Outlier Factor for anomaly detection, incorporating LSTM for temporal pattern recognition.
Code
Summer 2023
- Chit-Chat Conversational System
Developed an open-domain conversational system by fine-tuning BERT and RoBERTa for intent detection and slot filling, using T5 and BLOOM for answer generation.
Code
Spring 2023
Coin Price Monitoring Project
Built a cryptocurrency price monitoring app deployed using Docker and Kubernetes, with optional Docker Compose support.
CodeJob Execution Service
Developed a service that allows users to submit Python, C, C++, or Java code for execution, with results sent via email.
CodeDocker and Kubernetes Deployment
Implemented Docker and Kubernetes for deployment of various projects on Kubernetes servers.
CodeMachine Learning with MapReduce
Executed machine learning projects using MapReduce on a Hadoop cluster.
CodeNeural Network Implementation
Created a neural network from scratch with Fully Connected, Conv2D, and Max Pooling layers, using various optimizers and activation functions.
CodeSuper Mario Game with Genetic Algorithm
Developed a genetic algorithm to optimize gameplay strategy for the Super Mario game.
Code
Fall 2022
- Pacman Game AI
Implemented artificial intelligence algorithms for a Pacman game, inspired by Stanford’s CS221 projects.
Code
Spring 2022
Lights Out Game Solver
Created a solver for the Lights Out game using linear algebra techniques.XV6 Operating System Enhancements
Added system calls, implemented threading, and developed CPU scheduling algorithms (RR, priority, multilevel queue, and lottery) in the XV6 operating system.Message Broker
Built a Python-based message broker to handle communication between systems, translating messages and using TCP as a medium.
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