Hackathon Portal
AI Tinkerers - Paris
Final round winners have been announced. View Results
Team

LifeGuard Techies

This team is at maximum capacity.

Project Concept

Echocare uses smart tech to let folks with disabilities control things by talking. It’s made for older adults who need extra support at home. This gadget helps handle daily chores without help from others. Yet it can call for aid if something goes wrong suddenly. Some rely on it when moving around feels tough. Others find it handy just to stay secure each day.
The gadget catches spoken orders while taking care of jobs - say, scheduling appointments, looking up stuff, adding alerts, or managing connected gadgets at home. Meanwhile, motion detectors inside keep scanning for weird motions or tumbles. When it spots a drop or medical crisis, EchoCare shoots off an urgent signal right away, using a phone app link to notify helpers or relatives.
The project came from a clear problem: folks with mobility challenges might not grab a phone fast when it matters. Just a short wait could lead to serious trouble. Thanks to EchoCare, getting support takes only a spoken word - or kicks in by itself if needed.

Entry

Status: Submitted

Last saved: November 15 at 5:59 PM CET

Team Roster (team is at max capacity)

Message board not available for this team yet.

Jermiah Jerome Team Lead

AI Engineer at Daijobu Ai
Responsible for setting up and managing multiple MCP servers, designing the initial agent orchestration pipeline, and integrating external AI reasoning layers, Ngrok routing and in-build accelerometer for fall detection.
AI Engineer building and deploying LLMs and agentic workflows. Experienced in SFT, GRPO, PEFT, and scalable inference for realworld AI applications. Passionate about bridging model research with practical deployment to accelerate enterprise adoption.
Multi Agent Systems, Agentic AI
Developing Conversy AI - a SaaS platform that empowers businesses to create their own intelligent agentic business agent, an all-in-one growth engine that autonomously transforms customer conversations into bookings, payments, quotations, budgeting, invoicing, reminders, and revenue. It empowers SMBs and startups to scale effortlessly with real-time personalisation, location-aware automation, and deep business insights. Deploy it anywhere — simply share your unique chatbot link

Prajwal Dhiwar

Head Of AI at Micromonic Digital Inc
Implemented backend agent orchestration using Python FastAPI, coordinated workflows between Mistral VoxStral, and Google Real-Time Model 2.0, and handled secure API routing.
Prajwal Dhiwar is the Co‑Founder and Head of AI at Micromonic Digital Inc., a US‑based venture where he drives AI strategy and application development. With seven years of experience, he combines deep expertise in AI engineering with a strong business background, holding a Masters in Management and a focus on Business Analytics and Marketing from NEOMA Business School and the Acharya Institute of Graduate Studies. Based in the Greater Paris Metropolitan Region, Prajwal is actively seeking full‑time opportunities and co‑founders to expand his entrepreneurial projects while remaining open to new collaborations.
Agentic AI, LLMs, NLP, semantic search, vector databases (Qdrant, Weaviate), embeddings, multimodal ML, data ingestion & transformation, JSON schema design, ML engineering, cloud deployment, automation of administrative workflows, scalable AI platforms, SaaS product development, product management, co‑founder & collaboration opportunities
Working on: WingmanAI a Voice Agent first platform for Social Skills, Mental Health and Interview Prep. https://www.wingman-ai.io ConversyAI: A AI driven Lead Generation and Conversion Platform

John kuloth Peter San Stephen Arumugam

Data engineer at Freelancing
Managed deployment using Docker and Google Cloud Run, set up cloud environments, and Presentation
John Kuloth Petersan S is a data engineer based in Paris, France, with five years of experience building data pipelines and analytical solutions. He has contributed to a stealth AI startup and also works as a freelancer, focusing on data‑driven projects. John earned his engineering education at EPITA - Ecole d'Ingénieurs en Informatique, and further studied computer engineering and computer science at Puducherry Technological University and Pondicherry University. Open to full‑time, contract, or remote opportunities, he is actively seeking roles that leverage his expertise in data engineering and analytics.
I am looking for roles that related to data
Projects: Stealth AI startup — building production ETL pipelines in Python/PySpark with Snowflake ingestion via SnowPipe, orchestrated by Airflow (KubernetesPodOperator) and dbt transformations; NiFi automation and migration tasks; implementing CI/CD with GitHub Actions and ArgoCD/Helm to deploy services to GCP Kubernetes; freelance work — ad hoc data integrations and Tableau dashboards.