๐ง Brain Tumour Classification Model ๐ Real Time Image Diffusion Model ๐ Market Anomaly Detection tool |
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Highlights
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ChurnPredictionModel
ChurnPredictionModel PublicThis model is deployed on render, it was trained on a dataset from kaggle to predict the churn probability and visualize different features of customer using streamlit. Machine Learning model like โฆ
Jupyter Notebook
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BrainTumorClassficationModel
BrainTumorClassficationModel PublicThis projects was built on xception model and cnn model to help predict the type of Tumor based on the MRI scan. It uses Gemini to generate Explanation for model prediction with a saliency map to vโฆ
Jupyter Notebook 1
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pentagram
pentagram PublicA Realtime Image Diffusion Model with a user-friendly web interface. Users can generate AI-powered images in real time by providing text prompts.
TypeScript
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market-anomaly-detection
market-anomaly-detection PublicA market anomaly detection model that analyzes market data in real-time, predicts potential market anomalies (e.g., crashes), and provides explanations for its predictions using Retrieval-Augmentedโฆ
Jupyter Notebook 1
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HeyPuter/puter
HeyPuter/puter Public๐ The Internet OS! Free, Open-Source, and Self-Hostable.
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loop
loop PublicLoop is a TikTok-inspired short video-sharing app built with React Native, NativeWind, Supabase, and Expo. It allows users to upload, browse, like, and comment on short-form videos seamlessly.
TypeScript
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