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ResearchX – Autonomous Deep Research AI Agent
ResearchX is a production-ready autonomous research agent that performs end-to-end research with minimal human input.
Instead of simply answering questions, the agent plans research tasks, searches multiple trusted sources, evaluates information quality, retrieves supporting evidence, and generates structured reports with citations.
Built using a multi-agent architecture, the system combines planning, retrieval, tool calling, memory, and iterative reasoning to handle complex research tasks while reducing hallucinations through grounded retrieval and verification.
Features:
Autonomous Planning
Multi-Agent Workflow
Web Search Integration
PDF Analysis
RAG Pipeline
Citation Generation
Long-Term Memory
Report Generation
Source Verification
Evaluation Framework
Tech Stack:
Python • LangGraph • FastAPI • Tavily • ChromaDB • PostgreSQL • Redis • Docker • OpenAI • Claude
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Option 1 — Cinematic
The Fall of Emberhold ⚔️🐉
A cinematic fantasy war built with AI — thousands of soldiers, dragons, ancient magic, and a kingdom on the edge of destruction.
For this Contra Challenge, I wanted to create something that feels like a scene from a fantasy film, with a story that unfolds through scale, atmosphere, and cinematic visuals.
Created from concept to final video.
its somthing like awesome
I’ve officially launched StoryMint🚀
Turn one rough idea into a connected visual story - from planning the content to generating and editing the final carousel.
You can now support the launch on both platforms:
Peerlist: https://peerlist.io/vaibhavgareja/project/connected-story-ai-carousel-generator
Product Hunt: https://producthunt.com/posts/storymint-2/maker-invite?code=AO1IjN
And if you have a minute, try StoryMint → http://story-mint.com
Would genuinely love your feedback. What would you improve?
Looking too nice
Built an AI-powered Log Analyzer using Python and FastAPI to automate log analysis and troubleshooting. The system processes application/system logs, performs rule-based analysis, and uses an LLM to identify problems, root causes, severity, possible causes, and recommended actions. Exposed the functionality through REST APIs with structured Pydantic responses for reliable and consistent results.
Tech: Python, FastAPI, LLM/Ollama, Pydantic, REST APIs, Log Parsing, Prompt Engineering, Git.
