AI-Powered Personal Gifting Platform Development
Budget: $1,500 – $3,000 USD
We’re building an AI-powered gifting platform focused on personal gifting (not corporate). The platform takes input about the gift receiver (age, gender, interests, etc.), dynamically searches from a gift catalog, and recommends high-quality, personalized gift options.
Goal of the MVP: To build a lightweight, scalable recommendation engine that can generate relevant gift suggestions using user input and a dynamic product catalog.
The Recommendation Engine (v1):
We are not training heavy ML models. Instead, we want to use a Retrieval-Augmented Generation (RAG) approach combining:
OpenAI APIs (GPT-3.5 / GPT-4) for reasoning and personalization.
Embeddings + Vector Search (e.g., Pinecone or FAISS) to semantically match user input to gift items.
A dynamic, updatable catalog (gifts change weekly).
Expected Tech Stack
LLM Reasoning: OpenAI GPT-3.5 (fallback to GPT-4 if needed)
Embeddings: OpenAI Embedding API (or open-source alternative)
Vector Search: Pinecone (Starter Plan)
Backend: FastAPI (Python)
Database: PostgreSQL (gift metadata, user logs)
Caching: Redis or simple in-memory/file-based cache
Hosting: Railway or Render (can shift to AWS later)
Goal of the MVP: To build a lightweight, scalable recommendation engine that can generate relevant gift suggestions using user input and a dynamic product catalog.
The Recommendation Engine (v1):
We are not training heavy ML models. Instead, we want to use a Retrieval-Augmented Generation (RAG) approach combining:
OpenAI APIs (GPT-3.5 / GPT-4) for reasoning and personalization.
Embeddings + Vector Search (e.g., Pinecone or FAISS) to semantically match user input to gift items.
A dynamic, updatable catalog (gifts change weekly).
Expected Tech Stack
LLM Reasoning: OpenAI GPT-3.5 (fallback to GPT-4 if needed)
Embeddings: OpenAI Embedding API (or open-source alternative)
Vector Search: Pinecone (Starter Plan)
Backend: FastAPI (Python)
Database: PostgreSQL (gift metadata, user logs)
Caching: Redis or simple in-memory/file-based cache
Hosting: Railway or Render (can shift to AWS later)