FutureSmart Agent
A complete AI Agent system for real use cases. RAG, NL2SQL, API actions, multi-agent logic — everything in one place.
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Riya Dadlani
Muse AI
Individual
April 29, 2025 at 05:30 AM
LLMs & NLP: OpenAI GPT-4, Anthropic Claude for task execution & reasoning Reinforcement Learning: RLHF to optimize agent coordination Multi-Agent Frameworks: LangChain, AutoGen for seamless agent collaboration Vector Databases: Pinecone, Weaviate for memory & retrieval Automation APIs: OpenAI function calling, Zapier, custom API integrations Computer Vision: PaddlePaddle, OpenCV for vision-based automation Deployment & Infra: Docker, Kubernetes, and serverless architectures
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createdAt
04-02-2025 18:17
name
Riya Dadlani
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Project Title
Muse AI
Describe what your project does?
Fully autonomous ai multi agent platform to automate tasks end to end without human intervention
What AI tools did you use?
LLMs & NLP: OpenAI GPT-4, Anthropic Claude for task execution & reasoning Reinforcement Learning: RLHF to optimize agent coordination Multi-Agent Frameworks: LangChain, AutoGen for seamless agent collaboration Vector Databases: Pinecone, Weaviate for memory & retrieval Automation APIs: OpenAI function calling, Zapier, custom API integrations Computer Vision: PaddlePaddle, OpenCV for vision-based automation Deployment & Infra: Docker, Kubernetes, and serverless architectures
Share a 3–5 minute demo video (Google Drive link only) explaining your core idea, tools used, challenges faced, and how you improved your solution — make sure the link is viewable.
Is this project your original and proprietary work?
Yes
Does it include any private, sensitive, or restricted code or content?
No
Do you give us (AI Demos) permission to feature your work on our website and share it with our community (with full credit)?
Yes
Do you consent to us showcasing your name/profile on our social media platforms and YouTube
Yes
Connect with Riya Dadlani to learn more about their project.