Inspiration: The increasing complexity of software development led to frequent screen errors that were time-consuming to manually debug. We wanted a solution that didn't just explain errors, but 'saw' and 'fixed' them instantly. ​What it does: NEXUS is the world's first AI agent that leverages real-time computer vision to detect screen errors and auto-generates the fix. It bridges the gap between seeing a problem and solving it. ​Challenges: Making the vision-to-code pipeline fast enough for real-time execution was the biggest challenge. We overcame this by optimizing our model inference through Google Vertex AI. ​Accomplishments: We successfully built a pipeline that reduces debugging time by 90% by automating the code correction this is my source coad ok ===import google.generativeai as genai

Robust AI Agent for real-world challenges

Configure your API key to run this agent

API_KEY = "INSERT_YOUR_API_KEY_HERE"

genai.configure(api_key=API_KEY) model = genai.GenerativeModel('gemini-1.5-flash')

def main(): print("--- Smart Agent Initiated ---") user_input = input("Enter your query: ") try: response = model.generate_content(user_input) print("Response:", response.text) except Exception as e: print("Error: Ensure your API key is configured correctly.")

if name == "main": main()

Built With

• computer-vision-(opencv)
• flask
• google-cloud-vertex-ai
• google-gemini-api
• python
• react.js