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1. Meghashyam-adimallam/Systems-Level-Optimization-of-LLM-Inference-on-a-Single-Consumer-GPU Meghashyam-adimallam/Systems-Level-Optimization-of-LLM-Inference-on-a-Single-Consumer-GPU Public

   Systems-level optimization of LLM inference on a single 8GB GPU — achieving 5–10× throughput improvement using static and dynamic batching without changing the model.

   Python 2

2. Meghashyam-adimallam/A-Multi-Agent-Grounded-System-for-Hallucination-Reduction-and-Measurable-LLM-Evaluation Meghashyam-adimallam/A-Multi-Agent-Grounded-System-for-Hallucination-Reduction-and-Measurable-LLM-Evaluation Public

   Multi-agent Verified RAG system for hallucination reduction and measurable LLM evaluation. Compares Naive, Standard, and Verified RAG modes with claim-level verification and performance metrics.

   Python 1

3. emotion-hci emotion-hci Public

   Emotion-aware Human–Computer Interaction using Facial Expression Recognition (CNN, CBAM, EfficientNet)

   Jupyter Notebook

4. praveen-ls/aerial-disaster-image-classification praveen-ls/aerial-disaster-image-classification Public

   Jupyter Notebook

5. air-pollution-prediction air-pollution-prediction Public

   Deep learning–based air pollution prediction using time-series data

   Jupyter Notebook 1 1