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computer-vison

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An intelligent, multi-modal insurance claim automation engine for Health & Auto sectors. Features CNN-based vehicle damage assessment, Groq LLM adjudication, OCR document extraction, and a dual-interface (Web + Telegram).

  • Updated Mar 28, 2026
  • JavaScript

This project trains a lightweight CNN on the CIFAR-10 dataset and goes beyond raw accuracy by focusing on interpretability. Using TensorFlow/Keras and Plotly, it provides interactive visualizations, per-class performance breakdowns, confidence histograms, and detailed grids of correct and wrong predictions to analyse how the model actually behaves.

  • Updated Nov 21, 2025
  • Jupyter Notebook

TasteRank: Personalized Image Search and Recommendation. This research project proposes an AI-based method for scoring photos on relevance to user interests. TasteRank leverages language and vision models, including Mistral LLMs and OpenAI’s CLIP, and applies multimodal machine-learning techniques.

  • Updated May 10, 2024
  • Jupyter Notebook

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