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Student AI is an interactive AI-powered learning platform designed to help students learn concepts in a conversational and personalized way.
The platform allows students to directly chat with an AI tutor, ask questions, and receive contextual, easy-to-understand explanations — making learning more engaging and adaptive.
I built this system using a Retrieval-Augmented Generation (RAG) architecture, combining LLM capabilities with structured educational content to ensure accurate and relevant responses.
Key features include:
• AI-powered chat interface for real-time learning and doubt solving
• RAG-based system to fetch and ground responses in relevant study material
• Integration with multiple LLMs (Gemini, Ollama) for flexible AI workflows
• Real-time communication using sockets for smooth chat experience
• Image-based understanding and responses (visual learning support)
• Context-aware conversations with session memory
• Scalable backend for handling multiple concurrent users
The system is designed to go beyond generic AI chat by providing structured, curriculum-aware responses tailored for students.
Tech Stack:
React / Next.js, Node.js, Socket.IO, RAG pipeline, Gemini API, Ollama, vector-based retrieval
Student AI aims to make learning more accessible, interactive, and personalized — acting as a 24/7 intelligent tutor for students.
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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CreativeOS — an AI workspace that remembers everything about your creative work, so you never have to search again.
Built for creators juggling ten tools at once — WhatsApp threads, Gmail approvals, scattered Figma comments. CreativeOS doesn't just store your files, it remembers the story of your project and tells you exactly what to do next, like a creative director who sat in every meeting.
Three screens, one arc:
→ Return — instant context the moment you open a project
→ Remember — the real story of how the project evolved, not a file list
→ Recommend — one specific, grounded recommendation, not a generic AI guess
Built in @Flowstep — prompt to real editable canvas, no code. Some generations needed refining, so I used Flowstep's Figma handoff to fine-tune the details by hand.
Full walkthrough in the video. Would genuinely love to know — would you use something like this?
#flowstepchallenge #FlowstepChallenge #AI #ProductDesign #UIUX #CreativeOS #Vyomaverse #DesignTools #AIWorkspace
flowstepchallengeproductdesigneruiuxdesignProduct DesignProduct StrategyPrompt WritingClaudeFigmaFlowstep
it feels really helpful as a designer... We often need this because we can get confused about where we left off or what we've already done. If everything is grouped together in one place!! it becomes much easier to stay organized and continue our work without any confusion about where we stopped.....!!!!
Every idea deserves a destination- Soul Studio. ✦
I stumbled across Contra and its challenges accidentlly and i wondered where this has been all my life. I have struggled with deadlines, ideas that seem to be just that, sometimes creative block and missing required deliverables. So I built Soul Studio because creatives don’t lack ideas—our ideas often disappear into forgotten folders before finding the right opportunity. Soul Studio reverse-matches saved ideas and existing projects with relevant competitions, grants, residencies, jobs and potential clients, then supports the journey through Project Workspaces, AI and human Studio Review, a target-specific Portfolio Generator, career and integration Plugins, Deck Maker and Solara—an AI studio companion.
I designed the complete multi-screen experience in Flowstep whereby i generated a PDR and flowstep generated all the pages needed , down to a marketing website for Soul Studio, then connected Codex directly to Flowstep through MCP to inspect, refine and coordinate the screens using natural-language prompts. The process moved from early wireframes and repeated iterations to a polished, clickable creative workspace built around one journey:
Idea → Opportunity → Project → Review → Portfolio.
Built with @flowstep_ai and Codex through MCP.
[FLOWSTEP PROTOTYPE LINK]
This was my first time using flowstep and it did take some time for me to get the hang of it but when i did, everything went smoothly.
𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗤𝗔 𝗳𝗼𝗿 𝗦𝗘𝗢 & 𝗖𝗠𝗦 𝗠𝗶𝗹𝗲𝘀𝘁𝗼𝗻𝗲 (𝗨𝗞-𝗕𝗮𝘀𝗲𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺)
Executed structured testing for a live talent acquisition platform, ensuring smooth rollout of SEO enhancements without impacting existing user flows.
What was covered:
SEO landing pages logic & visibility controls
CMS-driven dynamic content (hero sections, highlights, banners)
Admin vs frontend data consistency
UI rendering validation across key pages
Regression assurance across:
Authentication system (Login / Register)
Real-time messaging
Job creation & management
Talent discovery (search & filters)
Execution approach:
Tested 40+ scenarios across multiple modules.
Followed structured acceptance + regression checklist
Focused on real user journeys, not just isolated test cases
Key learning:
Effective testing isn’t just about finding bugs
it’s about ensuring new changes don’t break existing user flows.
Outcome: Smooth deployment, stable system, zero critical breakage.
Great work on ensuring seamless SEO updates; what was the most challenging part of coordinating the end-to-end testing process?