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Built NeuraChat — a multi-tenant AI conversational platform with context-aware memory, RAG pipelines, and MCP tool extensibility. Powers 50K+ simultaneous users using Python, LangChain, GPT-4, FastAPI, React, Redis, and AWS. #AI #LLM #RAG #Python #FastAPI
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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Project Title:
Unifai — AI-Powered HR Operations Platform
Short intro:
A smarter HR experience built around conversation, context, and actionable workforce insights.
Project description:
Unifai is an AI-powered HR platform designed to reduce the friction involved in navigating complex employee and compliance data.
Rather than forcing HR teams to move between dashboards, reports, employee records, and filters, the experience introduces an AI assistant as a central interaction layer. Users can ask questions naturally, investigate issues, access employee context, and move from an insight to the relevant information without breaking their workflow.
The product experience combines conversational AI, compliance monitoring, employee insights, attendance data, onboarding, and workforce analytics within a unified interface.
Our design approach focused heavily on information hierarchy. HR platforms can quickly become dense, so the interface uses progressive disclosure, contextual recommendations, focused data visualisation, and an AI-first interaction model to keep complex information approachable.
The result is an enterprise experience that feels less like navigating HR software and more like having an intelligent assistant sitting on top of your workforce data.
Services:
Product Design · UX/UI Design · SaaS Design · AI Product Design · Dashboard Design · Design System
Industry:
HR Tech · Enterprise SaaS · Artificial Intelligence
This is impressive, detailed and on point.
AI Data Assistant Inside Tableau
I built an AI-powered chatbot for Tableau that allows users to interact with their existing dashboards and data through natural-language questions.
Instead of manually navigating through multiple Tableau workbooks to find a specific metric or insight, users can ask the assistant what they need and receive relevant information from the available Tableau data and dashboards.
The solution adds a conversational AI layer directly to the existing BI workflow, helping users explore their data and find the right dashboard or report without changing how their Tableau environment is structured.
Can this system work outside Tableau? I think a client of mine would appreciate this
A powerful athletic club identity inspired by the strength of the athlete and the instinct of the python.
Would love to hear your thoughts.
The mark is stronger in the black version, where the coiled figure carries it alone. On the orange lockup the script and the tagline are both asking for attention, so the python has to share — have you tested it on kit, where there's usually no tagline to lean on?