HAIL: Hardware Automation through Intelligent Language Models
A budget-aware LLM agent workflow that repairs and optimizes AMD Vitis HLS C++ kernels using C simulation, synthesis, and C/RTL co-simulation as feedback.
A budget-aware LLM agent workflow that repairs and optimizes AMD Vitis HLS C++ kernels using C simulation, synthesis, and C/RTL co-simulation as feedback.
A small MLP trained on UNSW-NB15, quantized to INT8 and run on a custom FPGA neural-network accelerator for network intrusion detection.
A hybrid academic paper discovery platform combining semantic search, keyword search, and recommendations.
Semantic segmentation of landslide regions in satellite and UAV imagery to support disaster management.
A CrewAI multi-agent system that researches, writes, and edits a one-page scientific document on any topic.
A fully local retrieval-augmented generation (RAG) assistant for analyzing and chatting with research papers.
A machine learning classifier that predicts whether a Near-Earth Object is potentially hazardous, with explainable predictions.
An Omdena project using time-series forecasting and machine learning to give early warning of dengue outbreaks in Sri Lanka.
An Android app that identifies medicinal plants and their properties by scanning a leaf, powered by a CNN with over 95% accuracy.
An NLP-powered chatbot that answers questions about Nepal Engineering College with around 90% accuracy.
An LSTM-based automated essay grading web app, and education category winner at Quantum Hack 2020.
An end-to-end deep learning application that detects whether a driver is awake or drowsy, with 96% accuracy.