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1. Self-Driving-Car Self-Driving-Car Public

   A Raspberry Pi-powered self-driving car using YOLO v4 Tiny for real-time object & stop-sign detection (95% accuracy) and TensorFlow Lite-optimized motor control. Modular Python codebase handles web…

   Python

2. CNN-based-road-sensing-for-real-time-driver-alerts. CNN-based-road-sensing-for-real-time-driver-alerts. Public

   Uses transfer-learning CNNs to interpret forward-facing camera frames, extracting road-surface and lane features to feed a driving-assistance module delivering real-time lane-keep and hazard alerts…

   Jupyter Notebook

3. Hybrid-CNN-for-brain-tumor-analysis-with-explainable-AI Hybrid-CNN-for-brain-tumor-analysis-with-explainable-AI Public

   A multimodal, explainable pipeline that first segments brain-tumor MRI volumes with a U-Net-like CNN, then fuses radiomic features & clinical metadata in an attention-based survival network; both s…

   Jupyter Notebook

4. RAG-Based-Knowledge-Management-System-Implementation-Using-Level-3-Architecture RAG-Based-Knowledge-Management-System-Implementation-Using-Level-3-Architecture Public

   I built a lightweight RAG service with Flask, ChromaDB, Gemini, and Azure Blob—drag-drop PDF/TXT upload, auto-chunking/embeddings, persistent storage, Gemini Q&A, plus GitHub Actions OIDC CI/CD to …

   Python

5. Chest-Cancer-Classification-using-MLFlow-and-DVC Chest-Cancer-Classification-using-MLFlow-and-DVC Public

   End-to-end MLOps pipeline that classifies chest-CT scans for adenocarcinoma using a fine-tuned VGG16 CNN. Tracks every experiment with MLflow, versions data & pipeline stages with DVC, containerize…

   Python

6. RAG-LLM-medical-chatbot RAG-LLM-medical-chatbot Public

   AI medical chatbot that answers health questions using your own PDFs built with Flask, Pinecone vector search, and Groq’s free LLM.

   Python