Projects

Project Dashboard

2025 (Coming Soon)
  • Stay tuned for groundbreaking AI projects in 2025!
  • Advanced techniques in generative models and real-time AI solutions are on the way.

2024 – Best Projects (TTS, Fine-Tuning, BERT, Deep Learning)
  • Fine-Tuning Microsoft SpeechT5 TTS for Turkish:

    This project focuses on customizing Microsoft’s SpeechT5 TTS model for Turkish language synthesis, showcasing advanced multilingual speech applications.

    View Project: Turkish TTS Fine-Tuning

  • Training BERT for Sentiment Analysis:

    Builds on the BERT transformer architecture to classify sentiment (positive, negative, neutral) with high accuracy.

    View Project: BERT IMDB Reviews

  • Deep Learning-based Inpainting & Object Removal:

    An advanced approach that uses CNNs for removing objects or filling in missing regions in images seamlessly.

    View Project: Inpainting Using Flux


2023
  • Music Genre Classifier via CNN:

    Classifies audio clips into different genres using convolutional neural networks and MFCC feature extraction.

    View Project: Music Genre Classifier

  • Human Activity Recognition:

    Detects user activities (walking, standing, etc.) using smartphone sensor data and machine learning models.

    View Project: Human Activity Recognition


2022
  • Credit Card Fraud Detection:

    Utilizes machine learning techniques to identify fraudulent transactions within real-world financial datasets.

    View Project: Credit Card Fraud Detection

  • Detecting Fake News:

    Builds a text classification model to distinguish real news articles from fake ones.

    View Project: Fake News Detection

  • Personal Movie Recommendation with LGBM Ranker:

    Provides tailored movie suggestions based on user preferences using LightGBM for ranking.

    View Project: Movie Recommendator


2021
  • Spam Email Detection with Deep Learning:

    Utilizes neural networks and NLP preprocessing to classify emails as spam or ham.

    View Project: Spam Detection

  • Face Recognition using LBPH:

    Implements OpenCV’s LBPH for recognizing faces in real-time camera feeds.

    View Project: Face Recognition

  • Handwritten Digit Classifier (MNIST):

    Employs a simple neural network for digit classification on the MNIST dataset.

    View Project: Digit Classifier

Some Fun and Learning Projects
  • AI LiveKit Voice Assistant

    A voice assistant using LiveKit for real-time interaction with Deepgram (speech-to-text), OpenAI (LLM + TTS), and Silero (VAD).

    View Project: AI LiveKit Voice Assistant

  • Object Eraser

    Automatically remove objects from images by naming them or drawing bounding boxes, seamlessly handling shadows/reflections.

    View Project: Object Eraser

  • Math Solver with Gradio

    Web app that uses OCR (Qwen2-VL) & NLP (Qwen2-Math) to solve math queries from images or text, all via a Gradio interface.

    View Project: Math Solver with Gradio

  • Python Discord Bot

    A simple Discord bot built with discord.py to demonstrate basic command handling and user interaction.

    View Project: Python Discord Bot

  • Brain Tumor Detection

    Applies image processing and ML models to MRI scans for brain tumor segmentation and classification.

    View Project: Brain Tumor Detection

  • OCR with Multiple Languages

    Extracts text (in various languages) from images and offers text search within extracted content.

    View Project: Multi-Language OCR

  • Healthcare Chatbot

    Machine learning–based symptom diagnosis system using decision tree and SVM, offering precaution recommendations.

    View Project: Healthcare Chatbot

  • Speech Emotion Recognition

    Analyzes audio features to classify emotional states (e.g., happy, sad, angry) using deep learning.

    View Project: Speech Emotion Recognition

  • Stock Price Prediction

    Predicts next-day stock behavior (up/down) from historical market data using various ML models.

    View Project: Stock Price Predictor

  • Hate Speech Detection

    Classifies tweets into hate speech, offensive language, or neither using text preprocessing and Keras-based models.

    View Project: Hate Speech Detection



ASPECT_RATIO = 16.0 / 9.0