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1. SKIN_CANCER_DETECTION--DEEP_LEARNING- SKIN_CANCER_DETECTION--DEEP_LEARNING- Public

   Skin cancer classification using DenseNet121 + Grad-CAM achieving 85.7% test accuracy on HAM10000 dataset with Explainable AI

   Jupyter Notebook

2. FoodRescue2.0 FoodRescue2.0 Public

   Forked from Savree97/FoodRescue2.0

   FoodRescue – An AI-powered platform that connects restaurants and NGOs to redistribute surplus food. Reduces food waste, nourishes communities, and generates impact insights.

   TypeScript

3. Basic_projects_of_ML-_and_DL Basic_projects_of_ML-_and_DL Public

4. brain-tumor-segmentation-resnet-unet brain-tumor-segmentation-resnet-unet Public

   Pixel-level brain tumor segmentation using ResNet34-UNet with 90.45% Dice Score

   Jupyter Notebook

5. clinical-trial-matcher clinical-trial-matcher Public

   Patient-to-clinical-trial matching using BioBERT + TF-IDF hybrid retrieval on real ClinicalTrials.gov data | 90% Precision@3 | F1=0.87

   Jupyter Notebook

6. vlm-hallucination-benchmark vlm-hallucination-benchmark Public

   Benchmarking object hallucination in BLIP-2 vs InstructBLIP using POPE framework | 90% Precision@3 | COCO Val2014 | PyTorch

   Jupyter Notebook 1