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vanshikaarorax/README.md

Machine Learning Engineer specializing in Computer Vision and Deep Learning with experience designing and implementing learning-based vision systems, multimodal architectures, and transformer-based models. Strong foundation in representation learning, generative models, object detection, image generating, and autonomous perception, with practical experience translating modern research into robust implementations. Technical interests span vision-language models, self-supervised learning, and the evolution of deep neural architectures through implementation-driven research

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  1. Vision2Drive Vision2Drive Public

    A comprehensive end-to-end autonomous driving framework integrating Imitation Learning (Behavior Cloning), PPO Reinforcement Learning, Vision Transformers, and Multi-Modal Sensor Fusion with modula…

    Python 2 2

  2. FaceAgingLab FaceAgingLab Public

    FaceAgingLab is a unified PyTorch framework for facial age progression and age fading, implementing CycleGAN, StarGAN, and Diffusion-based image-guided age editing with a shared UTKFace preprocessi…

    Python 1

  3. Monocular-depth-estimation-3d-2d Monocular-depth-estimation-3d-2d Public

    DepthVision is a computer vision project that estimates dense depth maps from a single RGB image using a U-Net architecture with a pretrained ResNet34 encoder. Trained on the NYU Depth V2 dataset, …

    Jupyter Notebook

  4. Mask-Rcnn-segmentation-From-scratch Mask-Rcnn-segmentation-From-scratch Public

    Mask R-CNN implementation built 100% from scratch using TensorFlow/Keras. Complete object detection and instance segmentation pipeline with ResNet50/101 backbone, FPN, RPN, ROI Align, and detection…

    Jupyter Notebook

  5. Image-captioning-CNN-transformers Image-captioning-CNN-transformers Public

    Developed an end-to-end image captioning pipeline using ResNet50 and a Transformer decoder. Implemented caption preprocessing, vocabulary creation, GloVe embedding initialization, custom PyTorch Da…

    Python

  6. NutriGen NutriGen Public

    NutriGen 🧠🥗 An AI-powered RAG Nutrition Chatbot. Built using Next.js, OpenAI, Supabase (pgvector), and Gemma-7B, NutriGen combines local + cloud models for context-aware question answering on nutri…

    Jupyter Notebook