AI Tinkerers Hackathon Project Gallery - Generative UI Global Hackathon: Agentic Interfaces
AI Tinkerers - Hyderabad

Entries

Browse submitted projects, teams, and winners.

15 Entries
Entry Description Team Status
Team led by an Antz ai AI Engineer skilled in Python, FastAPI, React, Docker, and building voice-agent integrations with Twilio and ElevenLabs. Submitted
Team led by an HCLTech Technical Architect and Flowmate Founder specializing in D365, Power Platform, and agentic workflows using n8n, Gemini, and Claude. Submitted
Team led by a Welspun GCC HR Manager with 7 years of experience in talent acquisition, specializing in Generative AI applications for HR. Submitted
Team consisting of CBIT cybersecurity undergraduates and Digital Defence Club leaders skilled in Python, Docker, ethical hacking, and building autonomous AI-agent security tooling. Submitted
Team led by a Thomson Reuters MLOps Engineer (MS, UC Irvine) and an MCET AI student, specializing in AWS/GCP, production ML pipelines, and Python. Submitted
Team consisting of an Accenture ETL Developer skilled in Next.js, Python, and GCP, who builds AI-assisted web prototypes and integrates Gemini LLM APIs. Submitted
Team consisting of a Stryv.ai Full Stack Engineer skilled in Go, Python, and React, alongside IT and CS undergraduates from Hyderabad engineering colleges. Submitted
Team led by a Woxsen University researcher and Guinness World Record achiever skilled in Python, GenAI, CNNs, and deploying scalable ML pipelines on Google Cloud. Submitted
Team of Hyderabad-based AI/ML undergraduates skilled in Java, Python, Spring Boot, and Next.js, building RAG pipelines, multi-agent financial systems, and scalable backend architectures. Submitted
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Team consisting of an IISc AI researcher and a Vertx founding engineer skilled in MERN, Python, Agno, and LangGraph building agentic RAG systems. Submitted
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Team consisting of Geethanjali College B.Tech students building AI prototypes using TypeScript, Next.js, Python, and Hugging Face, specializing in LLM integration and GPU-aware embeddings. Submitted
Team consisting of two WaveMaker engineers specializing in React internals, runtime engineering, and full-stack AI integrations using OpenAI, Node.js, and proxy-based state management. Submitted
Team consisting of a Microsoft SWE 2 with a UT Austin AI Master's, skilled in PyTorch, SBERT, search retrieval, and end-to-end ML/CV systems. Submitted