+-------------------+ +-------------------+ | Mobile/Web Client| <---> | API Gateway (REST) | +-------------------+ +-------------------+ | +-------------------+ | Recommendation | | Service (Python) | +-------------------+ | • FastAPI | | • Scikit‑learn | | • TensorFlow Lite| +-------------------+ | +----------------+-----------------+ | | +-------------------+ +-------------------+ | Feature Store | | Business Rules | | (PostgreSQL) | | Service (Node) | +-------------------+ +-------------------+ | +-------------------+ | Event Stream (Kafka) → Model Trainer (Spark) | +-------------------+
To produce a passing bar essay, examinees must master several distinct skills: Writing Guide for MPT & MEE Bar Exam - AdaptiBar
Feel free to adjust the name, scope, or UI details to match your exact product vision. mitibar
Mitibar (মিতিবার) was traditionally a day to: ✅ Settle old misunderstandings. ✅ Lend without interest. ✅ Share a meal with a neighbor.
| Category | Requirement | |----------|-------------| | | API latency ≤ 150 ms (95th percentile). Carousel load time ≤ 800 ms on 3G. | | Scalability | System must handle 10 K concurrent users with < 5 % CPU spikes during peak hours. | | Security | All API calls require JWT auth; data at rest encrypted (AES‑256). | | Privacy | Respect GDPR – allow users to opt‑out of personalization in Settings → “Data & Personalization”. | | Reliability | 99.9 % uptime; fallback to “Top‑5 Trending” list if recommendation service is unavailable. | | Observability | Centralized logging (ELK), metrics (Prometheus), alert on error‑rate > 1 % for 5 min. | ✅ Share a meal with a neighbor
Mitibar is the day you forgive your brother without him asking. It is the afternoon you help a stranger carry their groceries. It is the moment you choose kindness over being right.
“Your next cocktail, perfectly curated for you.” | | Scalability | System must handle 10
| Metric | Target (3‑month) | Measurement Method | |--------|------------------|--------------------| | – avg. time from menu open to first order | ‑30 % vs baseline | Analytics event menu_open → order_placed . | | Average ticket uplift – revenue per guest | +12 % | POS revenue per unique guest. | | Recommendation click‑through rate (CTR) | ≥20 % | UI event recommendation_clicked . | | Customer satisfaction (CSAT) on post‑visit survey question “Did the recommendation help you decide?” | ≥4.5 /5 | Survey responses. | | Staff efficiency – orders per staff per hour | +8 % | Staff dashboard KPI. |