Pawsibu AI

Pawsibu is built AI-first. Every recommendation, search result, price suggestion, health insight, and safety check is driven by intelligent systems working in the background β€” so every interaction feels faster, smarter, and more personal.

The AI Experience

Here is what Pawsibu's intelligence does for you every time you open the app.

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Recommendations That Get You

Pawsibu learns your location, browsing habits, budget, and the pets you own to curate a personalized feed of pets, products, and services. The more you use Pawsibu, the more relevant it becomes.

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Pet Health Intelligence

Tell us your pet's breed, age, and symptoms. Pawsibu flags breed-specific health risks, assesses urgency in real time, builds a preventive care schedule, and predicts what services your pet will need next.

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Smart Pricing for Sellers

Never guess what price to set. Our system analyzes similar listings β€” factoring in breed, pedigree, age, location, and seasonal trends β€” to suggest the optimal price that maximizes your chances of a sale.

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Fraud Detection & Trust

Every transaction, listing, and review is monitored. Suspicious accounts, fake reviews, risky transactions, and questionable listings are caught and flagged before they reach you.

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Search That Understands You

Forget keyword-only search. Pawsibu understands what you mean, not just what you type β€” re-ranking every result based on your intent, location, and personal relevance.

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Talk to Pawsibu Like a Friend

"Find me a healthy puppy in Lagos" or "What's the best food for a senior dog?" β€” just ask in plain language. Our conversational interface understands your intent and responds with relevant results.

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A Dashboard Built Around You

Your Pawsibu dashboard adapts to how you use the platform. Frequent shoppers see deals and arrivals. Service users see vet bookings and health insights. New users get a guided, personalized onboarding.

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Business Intelligence for Sellers

Revenue trends, product performance rankings, customer segmentation, demand forecasting, and conversion funnel analysis β€” giving sellers and service providers a real competitive edge.

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Fair Dispute Resolution

When issues arise, the system analyzes dispute type, amount, and evidence to suggest a fair resolution. Low-severity disputes with clear evidence can be resolved automatically.

The section below is intended for technical evaluators, investors, and partners reviewing Pawsibu's AI infrastructure and roadmap.

Current AI Architecture

Pawsibu's AI system is a fully structured, production-ready scaffold of intelligent heuristics and scoring engines. The database schema, API endpoints (~30 registered routes), Django signals, and data pipeline are all in place. The current intelligence layer is built on rule-based logic, statistical scoring, and lightweight NLP β€” deliberately designed to be replaced with trained ML models as the platform scales.

This is not a prototype β€” it is a working system with real scoring logic running on every request. What it is not yet is a system trained on large-scale data with production-grade ML models. That is exactly what we are building toward.

Personalized Recommendation Engine

Weighted scoring across breed compatibility, location proximity, price range, and user history using cosine similarity and TF-IDF vectorization.

Pet Health Risk Assessment

Rule-based symptom urgency scoring mapped against a breed-specific health risk dictionary covering 50+ breeds and 100+ conditions.

Dynamic Price Suggestion

Statistical pricing model using median market comparisons, location multipliers, pedigree weighting, and seasonal demand adjustments.

Fraud & Trust Scoring

Multi-signal risk scoring across account age, transaction patterns, review velocity, listing quality, and behavioral anomalies.

Semantic Search Re-ranking

Intent-aware search that combines keyword matching with user context signals to re-rank results by personal relevance.

Conversational Query Handling

Natural language query parsing that extracts intent, entity type, location, and budget constraints to return structured results.

Dispute Resolution Engine

Evidence-based dispute classification with automated resolution pathways for low-severity cases and escalation logic for complex ones.

Business Analytics & Forecasting

Seller dashboards with revenue trend analysis, customer segmentation, demand forecasting using linear regression, and conversion funnel tracking.

πŸ“‹ Honest Status

The AI infrastructure is structurally complete β€” migrations applied, endpoints registered, signals wired. Several critical components (AI middleware, Redis caching, async task queue) are built and ready but not yet activated in production. No external AI APIs or trained ML models are currently in use. The intelligence layer runs on deterministic scoring formulas and heuristics. This is intentional β€” we built the architecture first so that integrating real ML models (via Vertex AI) slots directly into the existing pipeline without restructuring the system.

Google Cloud AI Integration Roadmap

With Google Cloud, here is exactly what we will build β€” in priority order. Each phase replaces a specific heuristic component with a production-grade Vertex AI model, slotting directly into the existing API and data pipeline.

Phase 1

Gemini-Powered Conversational AI

Replace the current rule-based query parser with Gemini to enable true natural language understanding across pet search, health queries, and service booking.

Vertex AI β€” Gemini API
Phase 2

Real Recommendation Models

Train collaborative filtering and content-based recommendation models on real user interaction data using Vertex AI, replacing the current weighted scoring heuristics.

Vertex AI β€” AutoML / Custom Training
Phase 3

Pet Recognition via Computer Vision

Enable photo-based pet identification β€” breed detection, lost pet matching, and health condition flagging from images β€” using Vision AI.

Vertex AI β€” Vision AI
Phase 4

AI-Powered Health Analysis

Move from hardcoded breed-symptom dictionaries to a trained health intelligence model that learns from real veterinary data and improves over time.

Vertex AI β€” Custom Model Training
Phase 5

Real-Time Fraud Detection

Upgrade the current rule-based fraud scoring to a live anomaly detection model trained on transaction and behavioral data across the platform.

Vertex AI β€” Anomaly Detection

Why Google Cloud

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Gemini for Conversational AI

Gemini's multimodal capabilities are the right fit for Pawsibu's natural language pet search, health queries, and image-based pet recognition.

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Vertex AI for Custom Models

Our recommendation and fraud detection systems need custom-trained models on our own data β€” Vertex AI's managed training pipeline is the most direct path.

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Built for Africa

Google Cloud's African infrastructure and Google for Startups' focus on emerging markets aligns directly with Pawsibu's mission across the continent.

Pawsibu AI β€” Smarter Pet Care Starts Here

We have built the architecture. We have the users. We have the roadmap. Google Cloud credits will turn Pawsibu's intelligent scaffold into a genuinely AI-powered platform serving pet owners across Africa.