local-models

Investigates suspicious messages using deterministic checks, local AI explanations, and live searches for supporting evidence.

A local study assistant that finds fresh practice material on the web for topics a learner struggles with.

Assesses suspicious forwarded messages with local AI and live web evidence about their URLs.

Turns Google Maps restaurant reviews into Chinese briefings, low-rating alerts, and English reply drafts using a local model.

Helps users reflect on a proposed purchase using personal context, a local model, and current product information from web search.

A local AI travel planner that combines packing advice and trip organization with current destination search results.

Finds a suitable time to go outside using air-quality forecasts, local AI explanations, and current air-quality news.

Creates spoken heritage walks using a local model and live web research about each stop.

Suggests outdoor activities using fresh weather searches, nearby places, and a local Gemma model.

A nature exploration app that uses local AI for identification and optional web searches for current supporting context.

Suggests short outdoor breaks using local AI and live web context about nearby options.

Creates outdoor missions with local AI, photo checks, and optional web searches for seasonal context.

Scores local walking conditions and combines nearby park searches with a guide written by a local model.

A local AI trail guide with saved routes and optional live searches for trail and weather information.

Runs research tasks with local AI, retrieves web sources through SerpApi, and can produce an audio digest.

An Indian trek database and local AI guide that adds current trek headlines from Google News.

Tracks autumn foliage using observation data, local AI, and recent web searches in each destination’s language.

Creates walking quests around real parks and trails, with local AI photo checks and a personal outdoor journal.

Records outdoor voice notes, generates local AI reflections, and uses weather searches to help plan time outside.

Helps plan hiking trips and retrieves recent trail-condition reports through Google News alongside local AI advice.

Builds printable neighborhood scavenger hunts using Google Maps place data and riddles written by a local language model.

Analyzes used-product listings with local models and researches new retail prices through Google Search to support price comparisons.

Compares flight options through Google Flights and uses a local Gemma model to help plan a trip.

Generates marketplace listings with a local Gemma model and compares Google Shopping prices for similar products.

Identifies secondhand items from photos, compares eBay listings, and drafts resale listings with a local vision model.

Plans outfits with an on-device model and finds Google Shopping products within a budget to fill wardrobe gaps.

Finds Reddit discussions through Google Search and combines them with Hacker News posts into a local AI research brief about customer problems.

Searches Google Jobs and remote-job feeds, ranks opportunities against a personal profile with local AI, and prepares a daily Discord digest.

Turns service-job details into customer quotes and uses Google Search to compare local hourly rates before drafting the client message.

Finds electronics listings on eBay Australia and uses local AI to extract product details for repair and resale decisions.

Provides a shared Google Jobs feed for roles in Ireland and uses a local Gemma model to tailor CVs to selected jobs.

Identifies secondhand items with a local vision model and compares eBay asking prices to calculate resale margins and maximum purchase offers.

Combines Google Search, News, Maps, and Finance results with a local Qwen model to research product markets and summarize competitors.

Summarizes local documents with an open-weight model and can enrich extracted action items with Google Search results.

Organizes local files while the computer is idle and can use Google Search to identify unfamiliar vendors and add context to file metadata.

Investigates software bugs with a local model and can retrieve documentation through Google Search to support repair proposals.

Turns Google Search results into a three-line Chinese lesson preview using a local Gemma model.

Summarizes emails with a local model and researches senders' companies through Google Light Search to add context to each message.

Uses Google Search results and a local Gemma model to write research reports with source links and saved history.

Plans Google Classroom coursework with a local Gemma model and finds related educational resources through Google Search.

Combines coursework, notes, and local AI study plans with Google Search results for supplementary learning material.

A local Windows assistant that researches topics through Google Search and combines web sources with local files to draft reports.