This project leverages deep learning transformers to classify YouTube comments into six distinct emotions.
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Updated
Sep 10, 2024 - Jupyter Notebook
This project leverages deep learning transformers to classify YouTube comments into six distinct emotions.
Geospatial Semantic Search and Interactive Map Display" is a Streamlit app that allows users to search for locations by name and view them on an interactive map. Using advanced embeddings and Qdrant for vector storage, it retrieves and displays geospatial data, showing latitude and longitude with Folium.
An OpenEnv-compatible reinforcement learning environment for evaluating AI agents on real-world code review tasks.
A web application featuring a custom YOLOv8 model for real-time object detection under adverse weather conditions (rain, fog, low-light). Powered by a MERN-stack frontend on Vercel and a containerized Express/Python backend on Hugging Face Spaces.
This project is a Streamlit-based Agentic AI application that demonstrates graph-driven AI workflows using LangGraph and LangChain, powered by GROQ LLMs and integrated external tools.
A deployed, multimodal chest X-ray triage assistant — EfficientNet-B0 classification, Grad-CAM explainability, Claude API report generation, and Gradio web interface.
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