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At Aggill Intelligence�, we are developing AI-driven solutions focused on public impact, territorial intelligence and climate resilience.
One of our flagship projects is:
🌎 GeoAlerta AI
A climate intelligence platform designed for emerging cities, combining:
• Geospatial analytics
• Flood-risk prediction
• Rainfall monitoring
• Machine learning
• Territorial dashboards
• Real-time decision support
Our mission is simple:
Transform data into decisions that protect lives.
Currently exploring partnerships and global opportunities involving:
Climate AI
Smart Cities
Public Sector Innovation
Geospatial Intelligence
Predictive Analytics
#AI #DataScience #ClimateTech #GeoAI #MachineLearning #SmartCities #Python #TerritorialIntelligence #PublicImpact #IntelPartner #IBMPartner
Hi! I’m a college student and an aspiring AI/ML engineer who loves building things with technology and turning ideas into real projects.
I built the Arshi Masale website for a local spice business from Sindhudurg, Maharashtra. This project was special to me because it showed me that even as a student, I can use what I’m learning to create something useful for a real business.
I focused on making it modern, simple, mobile-friendly, and ready for future e-commerce features. This is one of the projects that motivates me to keep learning, building, and eventually turn my passion for AI and technology into a career.
Another late night. Building a quant trading system an agentic model where different AI agents handle research, testing and risk, and none of them is allowed to place a trade on its own.
The hardest part so far? Being honest when the results say "not yet." Most strategies I've tested failed once real costs were included. That's exactly what testing is for.
Keeping The Psychology of Money and The Diary of a CEO close while I figure it out. What are you reading these days?
Curious how you’ve separated the agents from execution. When you say none can place a trade on its own, is that enforced through a separate execution service with fixed risk checks, human approval or both? I’d love to understand where the agent's decision-making ends and the hard rules take over.
A landing page concept for an AI-powered customer support platform.
The goal was to create a SaaS experience that feels simple, clear, and product-focused without falling into the usual overly technical AI aesthetic.
I focused on:
Clear product storytelling
Strong visual hierarchy
Minimal, modern UI
Product-focused sections
Clean interactions and spacing
A calm visual language that keeps the product at the center
Designed to make AI support feel less complicated and more approachable.