Yashpalsinh Thakor

PyTorch & Deep Learning | Python Developer

Projects

Rice Type Classification (PyTorch)

Developed a neural network in PyTorch to classify rice types. Implemented data preprocessing, model architecture, training loop, and evaluation metrics. Utilized GPU acceleration (CUDA) for efficient training.

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Gemini Chat – Google API Integration

Created a Python-based chatbot leveraging Google's Gemini AI model. Designed a clean user interface for seamless interaction. Demonstrated proficiency in API integration.

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Car Object Detection

Implemented an object detection pipeline to identify and locate cars in images. Involved data annotation, model selection, training, and visualization (bounding boxes).

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Titanic Survival Prediction

Developed a machine learning model to predict passenger survival on the Titanic dataset. Employed feature engineering, model training, and performance evaluation techniques.

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Animal Faces Image Classifier (PyTorch)

Built a CNN in PyTorch to classify animal faces (cats, dogs, wild animals) from the AFHQ dataset. Utilized data augmentation and preprocessing techniques. Optimized model performance for high accuracy.

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Personality Pulse

I developed PersonalityPulse, a PyTorch-based deep learning model that classifies introverts and extroverts using personality traits. Trained on Kaggle data with ~99% accuracy, it features a Streamlit dashboard for live predictions and uses permutation analysis for feature importance.

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Tic-Tac-TOE-game

Using HTML, CSS, and JavaScript, I am designing a Tic-Tac-Toe game with variable AI difficulty levels that encourage user engagement.

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NPL-ChatBot

Python-based chatbot using TextBlob and sentiment analysis for tailored

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Skills

Experience

Microsoft (MLSA), Remote Student Ambassador

Sep 2023 - Present

Nike, Remote - Frontend Developer Intern

May 2023 - Sep 2023

Projects I'm Currently Working On!

Computer Vision Projects with PyTorch

View More Computer Vision Projects

Natural Language Processing Projects

View More NLP Projects

Languages

Hobbies

When I'm not coding, you can probably find me at the football ground!