Database Performance and Index Recommendation Advisor
PostgreSQL slow query log analyzer evaluating execution plans and recommending missing B-Tree / GIN indexes.
Project Overview
Parses pg_stat_statements and EXPLAIN ANALYZE outputs to discover full sequential table scans, high disk I/O queries, and sub-optimal joins, auto-generating CREATE INDEX statements to boost query performance. ### Practical Student Engineering Solution Fully functional hardware demonstration prototype equipped with dedicated microcontrollers, precision sensors, actuators, and an interactive cloud/mobile telemetry dashboard. ### Key Learning Outcomes - Embedded C / MicroPython firmware architecture and sensor interfacing - IoT telemetry protocols (MQTT / HTTP / BLE / LoRaWAN) - Power regulation, hardware debugging, and PCB design principles - Comprehensive technical documentation aligned with IEEE academic standards
Modern commercial and industrial infrastructure requires automated, real-time sensing and telemetry. Conventional manual monitoring suffers from high latency, human error, and lack of predictive fault visibility for Database Performance and Index Recommendation Advisor.
A turnkey engineering prototype integrating high-precision sensor modules, dedicated microcontroller unit, and cloud telemetry protocols to automate measurement, trigger alert thresholds, and provide remote dashboard control.