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AI Tinkerers - Bengaluru
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AI_Hunt

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Project Concept

Project Concept - Autonomous Conversational Property Intelligence (Built with LLM + Multimodal + Tool-Use Agents)

We are building the future of real estate automation - a multi-agent platform powered by LLMs, tool-use APIs, voice interfaces, and multimodal perception.

The system transforms browsers, voices, and cloud workflows into smart autonomous agents that act on real-world real estate challenges - forecasting revenue, detecting risk, analyzing leases, managing ESG compliance, and orchestrating services through natural conversation.

With real user intent at the core, the platform bridges human curiosity and seamless automation: users can ask, and the agents understand, analyze, speak back, execute tasks, and deliver outcomes without manual intervention.

What Makes It Different

Instead of dashboards that only display data, our platform provides:

Conversational decision-making

Voice-first reporting and insight generation

Agents that trigger tools and APIs automatically

Real-time perception from documents, news, and signals

Autonomous orchestration -not just recommendations

Entry

Status: Submitted

Last saved: December 09 at 2:55 PM IST

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Soumyadeep Sarkar Team Lead RSVP Waitlisted

AI/ML Engineer at Cyber Secure India
Led solution architecture, feature planning, and system integration across voice, automation, agent intelligence, and UI. Designed the core workflow, coordinated team roles, pitched the concept, and ensured alignment with the hackathon’s theme of conversational autonomy.
I am an AI/ML Engineer passionate about building practical, high-impact AI systems across edge computing, agentic workflows, cybersecurity, and ed-tech. I have experience in developing GenAI agents, machine learning pipelines, LLM-powered tools, economic forecasting systems, and cybersecurity-focused AI applications. I’ve participated in multiple national hackathons, including CellVerse, Edge AI Developer Hackathon, and Omnidimension Hackathons, consistently creating innovative and user-centric solutions. I enjoy solving real problems through scalable engineering and applied AI.
AI Agents, LLM Systems, Edge AI, Cybersecurity + AI, GenAI tooling, ML Engineering, Real-time data pipelines, Ed-tech AI systems, Economic forecasting AI, Autonomous workflows, Model optimization on edge devices. Open to collaborations, mentors, and contributors for multi-agent systems and AI infrastructure projects.
Currently building multi-agent systems like EduMentor AI and Exam Whisperer, an AI Vulnerability Explainer for simplifying CVEs, EcoVision for economic forecasting, and SkillSnap AI for resume intelligence. Also exploring Edge AI apps for the Snapdragon X Elite and agentic automation workflows for productivity and cybersecurity.

h**********4@g*******m RSVP Waitlisted

Worked on the frontend interface using React/Next.js, integrated voice input and output components, and built the UI workflow for report display, ESG insights, and predictive dashboards. Responsible for browser automation-triggered UI updates and user interaction experience.
Insufficient information is available for a biography.
no projects mentioned

j*******************7@g*******m RSVP Waitlisted

Developed the backend service layer using FastAPI/Node, managed API orchestration, data routing, handling requests from the agent, and integrating PDF and email automation tools. Also implemented secure endpoints and cloud deployment.
This candidate's profile lacks verifiable technical skills, education, and experience. There is no evidence of active building or coding. Further portfolio data is required for evaluation.
no projects mentioned

Dhrub Pandit RSVP Approved

AI ML engineer at Cyber secure india
Focused on ML/LLM integration and agent logic, including prompt engineering, reasoning flows, lease clause extraction, forecasting models, and connecting the agent with tool-use pipelines for real-time decision automation.
I am an AI Engineer passionate about building intelligent systems that bridge theory and practical applications. My work focuses on machine learning, deep learning, and automation, along with strong interest in system architecture and optimization. I enjoy solving real-world problems using data-driven approaches and exploring emerging technologies such as GPU computing and embedded AI. I am committed to continuous learning, collaboration, and contributing to impactful AI-driven solutions.
Interested in applied AI, deep learning, computer vision, NLP, model optimization, and GPU-accelerated computing. Passionate about exploring scalable AI systems, edge AI, and real-world problem-solving. Open to learning advanced ML techniques and collaborating on innovative AI products and research-oriented projects.
Working on ML and DL model experiments, CUDA-based parallel programs, and AI system architecture design. Exploring efficient model training pipelines, algorithm optimization, and small research-oriented prototypes. Also developing structured technical reports and diagrams to support AI workflows and deployment planning.

RAJAT SINGH RSVP Approved

Software Engineer at Cyber Secure India
Worked on cloud setup, DevOps, and database integration, provisioning AWS/Vercel, managing MongoDB schema, environment configs, and ensuring end-to-end reproducibility, logging, and performance optimization.
MERN stack developer with strong problem-solving skills, focused on backend development and scalable system design. Passionate about learning, building, and growing as a software engineer.
Backend Engineering,Software Development REST API Design and Development,Scalable System Architecture,Cloud-Native Applications Database Design and Optimization Authentication & Security Systems Problem Solving and Algorithms
FastDrive: MERN-based ride-hailing platform with JWT auth, real-time tracking (Socket.IO), and secure payments. InsightCore (Ongoing): Backend platform with JWT auth, scalable APIs, background jobs (BullMQ), Redis caching, and AI-powered content processing.