CricketNearby — AI-Powered Grassroots Cricket Platform

• 

• 

• 

• 

• 

• 

• 

## What it does

CricketNearby is an AI-powered grassroots cricket platform that brings players, teams, matches, tournaments and cricket grounds together in one place.

Its Gemini-powered Agentic AI is designed to go beyond ordinary conversation. Users can give CricketNearby a goal in natural language, such as finding suitable players for a match. Gemini can interpret the objective, structure the requirements, access relevant application data, evaluate options, and execute permitted actions with user approval.

The platform also supports player discovery and AI-assisted matchmaking, team and tournament management, cricket ground discovery and ground listing, payment-enabled services, and live cricket scoring with player statistics and match results.

The goal is to make local cricket easier to discover, organize, play and manage.

How we built it

CricketNearby was built as a web-based platform using Lovable, with Supabase providing application data and backend services.

We integrated the Gemini API to create an Agentic AI layer that can interact with CricketNearby's application workflows rather than functioning only as a chatbot.

The agent can interpret natural-language objectives, retrieve relevant data, use application tools, make permitted operational decisions, request human approval for consequential actions, execute approved operations and verify the resulting state.

Google Cloud services are also part of the application's technology stack, and payment infrastructure has been integrated to support the platform's business model.

The architecture is designed around:

User objective → Gemini reasoning → application data/tools → decision → human approval → action → verification

Challenges we ran into

The biggest challenge was moving from a conventional application with an AI chatbot to an application where AI can genuinely participate in business operations.

Connecting Gemini to real application data and functions required careful design of tool calls, permissions, confirmations and error handling.

Another challenge was deciding which responsibilities should belong to AI and which should remain deterministic. For example, cricket scoring and match-result calculations need to follow cricket rules reliably, while Gemini can assist with interpretation, organization, recommendations and operational workflows.

Building and integrating multiple components — including Lovable, Supabase, Gemini API, Google Cloud and payment infrastructure — while keeping the application reliable was another major challenge.

Accomplishments that we're proud of

We are proud to have built a working foundation for an AI-powered grassroots cricket ecosystem rather than simply adding a chatbot to a website.

A key accomplishment is the integration of Gemini as an Agentic AI layer capable of working with CricketNearby's application workflows.

We also built an Agent Activity and verification concept so that AI operations can be traced through stages such as intent understanding, data retrieval, tool execution, approval and verification.

CricketNearby now brings together player discovery, teams, matches, tournaments, grounds, payments and cricket statistics in a single platform.

We are especially proud of the vision of turning fragmented grassroots cricket activities into a connected digital ecosystem.

What we learned

We learned that using AI is not the same as being AI-native.

A chatbot that only generates answers does not fundamentally change how a business operates. The real opportunity comes when AI can understand an objective, reason over relevant data, use application tools, make appropriate decisions and execute permitted actions.

We also learned that human oversight remains important. CricketNearby therefore uses confirmation for consequential actions rather than treating every AI decision as automatically executable.

Another important lesson was that AI and deterministic software should complement each other. Gemini can provide intelligence and coordination, while core functions such as cricket scoring and result calculation should remain reliable and rule-based.

What's next for CricketNearby — AI-Powered Grassroots Cricket Platform

CricketNearby is still under active development, and our next priority is moving from a working product to real-world adoption.

We want to bring in our first community of players, organizers, teams and ground owners, gather real-world feedback and improve the platform based on actual cricket activity.

Technically, we plan to expand the Agentic AI capabilities so Gemini can assist with more of the operational lifecycle — from discovering players and grounds to organizing matches and tournaments, communicating with participants, and helping users understand match and player data.

We are also continuing to develop the live scoring and statistics system so every match can generate useful structured cricket data.

Our long-term vision is to build an AI-powered operating layer for grassroots cricket, connecting players, teams, organizers, venues, tournaments and match data in one ecosystem.

The ambition is simple:

Make cricket easier to discover, easier to organize, easier to play and increasingly easier to operate with AI.

Built With

• agentic-ai
• ai-agents
• ai-matchmaking
• ai-powered
• cloud-computing
• cricket-technology
• gemini
• gemini-api
• generative-ai
• google-ai-studio
• google-cloud
• ground-discovery
• ground-listing
• live-scoring
• lovable
• natural-language-processing
• payment-integration
• player-statistics
• postgresql
• real-time-data
• sports-technology
• supabase
• team-management
• tournament-management
• web-application