Our project features an Autonomous AI Agent that automates data collection, curation, and model building. It continuously updates models with real-time data, ensuring accuracy and adaptability.
🔍 Problem Statement:
Manual data workflows are broken! 80% of AI projects fail due to:
🐌 Slow labeling: Human annotation is expensive & time-consuming
🧩 Data chaos: Scattered sources (Twitter/Reddit/news) in messy formats
📉 Stale models: Static datasets decay rapidly in fast-changing domains
💡 Our Revolution:
A fully autonomous AI agent that:
🌐 Self-collects fresh data from diverse sources
🏷️ Auto-labels using cutting-edge LLMs (DeepSeek/Gemini)
🧠 Continuously trains models that evolve with trends
✨ Why This Matters?
10x faster AI development cycles
Zero manual labeling costs
Always up-to-date insights for finance/healthcare/social trends
We have almost completed all the task, only the integration and data scraping of youtube is remaining to dynamic styling of UI, so it is little typical,
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