Rat Paw Detection with YOLOv8 + Gradio
This project showcases a lightweight and intuitive web interface for detecting rat paws in images using a custom-trained YOLOv8 model. Built with Gradio, it allows users to upload an image and receive instant visual feedback with detected paws highlighted.
Key Features:
YOLOv8 object detection fine-tuned specifically for rat paw recognition.
Interactive web app for image uploads and real-time inference.
Built with Gradio for fast prototyping and deployment.
Clean interface with automatic annotation overlay.
ConvoPilot โ AI Chatbot MVP
Developed an AI chatbot MVP focused on conversational interactions and knowledge based question answering. Worked on the backend architecture, AI integration, retrieval workflow, and deployment considerations for a modular system designed with future SaaS expansion in mind.
Technologies: Python, OpenAI API, RAG, FAISS, Sentence Transformers, APIs, Backend Development
๐ง Introducing NLP-Assistant!
> Smart Workflow Detection: AI suggests the optimal analysis path for maximum insight.
> Specialized Workflows: Dedicated analysis for diverse content, including PII detection, hashtag extraction, and citation analysis.
> Comprehensive Analytics: Get detailed text stats, VADER sentiment scoring, and interactive Plotly visualizations.
>> Check out the repo, give it a star, and try transforming your text data into actionable insights! ๐
github.com/WaqasAhmed27/NLP-Assistant (https://github.com/WaqasAhmed27/NLP-Assistant)