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  1. LicensePlateSystem LicensePlateSystem Public

    An AI-powered license plate recognition system that detects, crops, and reads vehicle plates using YOLOv8, Real-ESRGAN, and PaddleOCR. It enhances blurred images, extracts clean text with custom lo…

  2. Image-Captioning-using-ResNet50-Flickr8k Image-Captioning-using-ResNet50-Flickr8k Public

    Deep learning model that generates image descriptions using ResNet50 features + NLP. Achieves BLEU-4 score of 0.331 on Flickr8k dataset. Dual-input architecture processes images & text sequences to…

    Jupyter Notebook

  3. Sign-Language-Digit-Recognition Sign-Language-Digit-Recognition Public

    A deep learning model that classifies hand gesture images representing digits 0-9 from sign language Images resized to 28×28 grayscale with augmentations. Achieves digit classification via 3 hidden…

    Jupyter Notebook

  4. Image-Classification Image-Classification Public

    Sign language digit classification comparing custom CNN vs pretrained ResNet-34. Trained on 0-9 hand gesture images. Evaluates accuracy and performance of both models with and without freezing layer.

    Jupyter Notebook

  5. Effect-of-Regularization-and-Dropout Effect-of-Regularization-and-Dropout Public

    A comparative study analyzing how L2 regularization and Dropout individually and combined affect neural network generalization, bias-variance tradeoff, and overfitting prevention.

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  6. Optical-Flow-Estimation Optical-Flow-Estimation Public

    A comparative study of optical flow estimation methods: Lucas-Kanade (sparse) vs RAFT (dense deep learning). Lucas-Kanade tracks 88 feature points with ~1.52px flow. RAFT computes 230K per-pixel ve…

    Jupyter Notebook