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🧠Brain Tumor Detection AI
Brain Tumor Detection AI is an end-to-end deep learning application designed to classify brain MRI images into four categories using a transfer-learning-based EfficientNetB0 architecture. The system combines image classification with Integrated Gradients to provide a visual explanation of the regions that contributed to the model's prediction. The trained model is integrated into an interactive Streamlit application where users can upload an MRI image, view the predicted class, inspect class probabilities, and explore the model's attribution map. Project focus: building a practical, explainable and deployable computer-vision workflow rather than presenting the system as a clinical diagnostic tool.
🏠AI Industrial Inspection
AI Industrial Inspection is an end-to-end deep learning application built to classify steel surface inspection images into 10 industrial defect categories. The project uses a trained EfficientNet-B0 model with transfer learning and balanced training. The deployed Streamlit application takes a single uploaded image and returns the predicted defect, confidence score, Top-3 predictions, and a Grad-CAM visual explanation. Project focus: combining practical image classification, interpretable model output, and a usable web interface into one complete computer-vision workflow.
AI-Powered Financial Fraud Detection & Risk Intelligence System
Financial fraud has become one of the most critical challenges for banks, payment gateways, and digital financial platforms. As transaction volumes continue to grow, traditional rule-based systems struggle to detect evolving fraud patterns while keeping false alerts under control. This project presents an end-to-end Explainable Machine Learning pipeline for detecting fraudulent financial transactions using XGBoost, Hyperparameter Tuning, Threshold Optimization, and SHAP Explainability. Instead of focusing only on prediction accuracy, the project emphasizes building a practical fraud detection solution that balances predictive performance, business impact, and model interpretability.
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Trust Onyekwere
AI Developer Advocate
Ratnakar Patrayudu
Head of SEO & Organic Growth, Techjockey.com
Sai Sandeep Ogety
“Transforming DevOps with innovation, collaboration, and AI-driven solutions.”
Ayush Chamoli
Data Engineer @ Enable Data
Shivangi Pande
Product designer and A11y champion @ Microsoft
Darshan Sharma
SDE III
Debajit Mallick
Organizer @GDG Siliguri🚀 | Software Engineer @Ergeon | Tech Community Builder & Innovator
Pranav Kumar
MongoDB Champion | Tech Lead @Wipro | Automation Engineer
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Commudle is by far the best platform I’ve used for community management! It’s incredibly easy to navigate, with everything we need in one place, which made organizing DevFest 2024 Ranchi a seamless experience. What truly sets Commudle apart is the founder, Arpan Garg. He genuinely cares about his users, personally addressing any issues and providin...
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