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.
Here is what Pawsibu's intelligence does for you every time you open the app.
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.
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.
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.
Every transaction, listing, and review is monitored. Suspicious accounts, fake reviews, risky transactions, and questionable listings are caught and flagged before they reach 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.
"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.
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.
Revenue trends, product performance rankings, customer segmentation, demand forecasting, and conversion funnel analysis β giving sellers and service providers a real competitive edge.
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.
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.
Weighted scoring across breed compatibility, location proximity, price range, and user history using cosine similarity and TF-IDF vectorization.
Rule-based symptom urgency scoring mapped against a breed-specific health risk dictionary covering 50+ breeds and 100+ conditions.
Statistical pricing model using median market comparisons, location multipliers, pedigree weighting, and seasonal demand adjustments.
Multi-signal risk scoring across account age, transaction patterns, review velocity, listing quality, and behavioral anomalies.
Intent-aware search that combines keyword matching with user context signals to re-rank results by personal relevance.
Natural language query parsing that extracts intent, entity type, location, and budget constraints to return structured results.
Evidence-based dispute classification with automated resolution pathways for low-severity cases and escalation logic for complex ones.
Seller dashboards with revenue trend analysis, customer segmentation, demand forecasting using linear regression, and conversion funnel tracking.
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.
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.
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 APITrain 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 TrainingEnable photo-based pet identification β breed detection, lost pet matching, and health condition flagging from images β using Vision AI.
Vertex AI β Vision AIMove 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 TrainingUpgrade 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 DetectionGemini's multimodal capabilities are the right fit for Pawsibu's natural language pet search, health queries, and image-based pet recognition.
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.
Google Cloud's African infrastructure and Google for Startups' focus on emerging markets aligns directly with Pawsibu's mission across the continent.
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.