Gift Hunter: An AI Agent That Finds Gifts They’ll Actually Want

Description and use

Gift Hunter transforms gift searching into a structured, personalized experience, offering eight ideas with explanations and automatically searching the best options on Google Shopping, considering budget and recipient interests.

Problem

Gift searches often return a pile of products before helping you decide what would actually feel personal.

Outcome

Gift Hunter transforms gift searching into a structured, personalized experience, reducing irrelevant results and providing budget‑constrained, relevant product listings.

Workflow

• Collect recipient brief (interests, budget, occasion)
• Send brief to Gemma via Google AI Studio to generate eight gift directions in JSON
• Validate JSON, repair if needed
• Select top three directions
• Query SerpApi for Google Shopping results for each direction
• Filter results by parsed USD budget and matching interests
• Display directions with verified picks

Evidence

Gift searches often return a pile of products before helping you decide what would actually feel personal.

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It acts as a thoughtful brainstorming partner—it generates eight distinct, personalized gift directions spanning different kinds of gifts, explains exactly *why* each idea might fit them, and even suggests a personal finishing touch.

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Then, it goes a step further: it dynamically searches Google Shopping for the top three strongest ideas, returning real, verifiable listings that are strictly filtered by the user's maximum USD budget and relevance to the recipient's interests.

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The app sends the recipient brief to Gemma via Google AI Studio, requesting exactly eight gift directions using a strict JSON schema.

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SerpApi queries Google Shopping, giving the agent live web search capabilities.

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MongoDB Atlas is integrated as the database. It currently saves the gift-search briefs into a gift_hunter.searches collection.

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