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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Participant
CybersecuredocAI
CybersecuredocAI
Other
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Individual
December 3, 2025 at 02:09 PM
Project Demo
Submission Details
hear-about-us
Other
name
Anshul Diyewar
College / University Name
VIT Bhopal
linkedIn-profile
- https://www.linkedin.com/in/anshul-diyewar-04b542251/
Project Title
CybersecuredocAI
Describe what your project does?
I developed a Retrieval-Augmented Generation (RAG)–based AI chatbot that can answer questions from a given document set (PDFs, text files, etc.). The system first converts documents into embeddings, stores them in a vector database, and then retrieves the most relevant chunks for each user query. These chunks are passed to an LLM to generate accurate, context-aware responses that are grounded in the original documents. This significantly reduces hallucinations and makes the chatbot suitable for use cases like internal knowledge bases and document Q&A. (Languages: Python . Libraries: Transformers, sentence-transformers, LangChain , FAISS for vector search . Models: Embedding model for vectorization, open-source LLM for generation. )
Share a 3–5 minute HD demo video
- https://drive.google.com/file/d/1WYDu5zB7CmVwVDxtt4Wod4cusDr6ISUg/view?usp=sharing
Hosted Project Link (if any)
GitHub Repository (if any)
- https://github.com/anshuldiyewar007/RAG-AI
artifacts/ supporting material
- https://drive.google.com/drive/folders/1hX6aiaQHZnqVq3uvzVFIvAAgerAJarTy?usp=sharing
Is this project your original and proprietary work?
Yes
Does your project include any private, sensitive, or restricted code or content?
No
Do you give us (AI Demos & partners) 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
Are you open to freelance, internship, or collaborative opportunities based on this project?
Yes, I’m interested