Yashpalsinh Thakor

PyTorch & Deep Learning | Python Developer

Projects

Rice Type Classification – PyTorch, Custom CNN

Engineered a custom convolutional neural network with PyTorch to accurately classify rice varieties. Designed efficient data preprocessing and augmentation pipelines, and implemented GPU-accelerated training for rapid experimentation and model optimization.

Gemini Chat – Google Gemini API Integration, Python UI

Designed and developed a smart chatbot in Python by integrating Google's Gemini AI model through API calls. Focused on user experience with a clean interface and demonstrated mastery of external API integration and custom chatbot logic.

Car Object Detection – Deep Learning Pipeline

Built an end-to-end object detection pipeline to locate vehicles in images. Performed dataset annotation, model selection, and training, with a strong focus on accurate localization through bounding box visualization and post-processing.

Titanic Survival Prediction – Classic ML, Feature Engineering

Developed a predictive model to estimate Titanic passenger survival probabilities using feature engineering and statistical modeling. Applied domain expertise to preprocess data and selected optimal classifiers for robust performance.

Animal Faces Image Classifier – PyTorch, AFHQ Dataset

Built a deep CNN in PyTorch for multi-class animal face classification using the AFHQ dataset. Leveraged data augmentation, advanced preprocessing, and model regularization to achieve high accuracy and strong generalization.

Personality Pulse – PyTorch NLP + Streamlit Dashboard

Created PersonalityPulse, a personality prediction web app backed by a PyTorch classification model. Achieved ~99% accuracy on Kaggle data, and enabled live predictions using a fast, user-friendly Streamlit interface.

🧠 Brain Tumor Detection – PyTorch, ResNet18, U-Net, Grad-CAM

Developed an end-to-end brain tumor detection pipeline using PyTorch, leveraging ResNet18 with U-Net-inspired segmentation and Grad-CAM visualizations for model explainability. Achieved strong accuracy on public MRI datasets, focusing on practical medical AI applications.

NLP ChatBot – TextBlob, Sentiment Analysis, Python

Developed a rule-based NLP chatbot in Python, using TextBlob for sentiment analysis and dynamic response tailoring. Demonstrated understanding of conversational AI and natural language processing workflows.

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

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🗣️

Natural Language Processing Projects

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💡

Other AI & ML Projects

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Languages