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

Description and use

Gift Hunter uses Gemma to generate personalized gift ideas and SerpApi to search live shopping results, delivering relevant, budget‑constrained options.

Problem

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

Outcome

Gift Hunter provides structured, personalized gift ideas and live product listings, improving relevance and saving users time compared to generic searches.

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 invalid; fallback to Gemini Flash Lite or backup list.
• Prioritize top three directions.
• Pass directions to SerpApi to query Google Shopping.
• Filter results by parsed USD budget and matching interests.
• Display directions with verified picks.
• Store brief in MongoDB Atlas for future memory.

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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