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SahilCodevally/codevally-vision-language-action

sourceHugging Faceotherupdated 6mo agoView on Hugging Face

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App README

🤖 Vision Language Action (VLA) Demo

Built by [Codevally](https://www.codevally.com) — AI-Powered Software Development & AI Solutions

Upload an image and enter a natural-language command. The system detects objects using Grounding DINO (open-vocabulary), interprets your instruction with an LLM, generates a structured action plan, and visualizes the result.

Try it: "Pick up the defective board and place it in the red bin"

How it works

1.📸 Vision — Grounding DINO detects objects based on your command text
2.🧠 Language — LLM (OpenAI / Groq) interprets the command
3.📋 Planning — Structured action steps are generated
4.🎬 Action — Annotated visualization is produced

🏢 About Codevally

Codevally is a forward-thinking technology company at the intersection of AI and software development. We specialize in building intelligent systems, AI-powered applications, and custom AI solutions that transform businesses — from traditional software to cutting-edge machine learning implementations.

🔬 Our AI Specializations

Domain	Capabilities
🖼️ Computer Vision	Object detection, image classification, video analytics, visual search
🤖 Language Models (LLMs)	OpenAI, Claude, Gemini, Llama fine-tuning, RAG systems, AI agents
💬 NLP	Sentiment analysis, NER, text summarization, question answering
📈 Predictive AI	Forecasting, anomaly detection, churn & risk scoring

✅ Why Codevally

—AI-First Approach — Deep expertise in AI/ML and modern LLM technologies
—End-to-End Solutions — From concept to deployment and monitoring (MLOps)
—Practical AI — Focused on real business value, not just technology
—Responsible AI — Ethics, bias detection, and governance built-in

This demo is an open-vocabulary Vision Language Action pipeline built by the Codevally AI team. [Learn more →](https://www.codevally.com)