Integrating ChatGPT into the platform required careful handling to maintain smooth data flow and stable system communication.

Law Enforcement
2 Years
Startup



The primary objectives for this project focused on improving platform performance, reducing operational costs, and enhancing automation capabilities across the client’s system.
Migrated the existing website infrastructure from AWS to a more affordable hosting solution, significantly reducing operational costs while maintaining stable website performance and uptime.
Integrated ChatGPT APIs to automatically generate detailed survey reports. This allowed users to create comprehensive summaries with minimal manual effort, improving accuracy and reducing the time spent on report creation.
Upgraded the legacy Python 3.5 environment to Python 3.11 to enhance security, performance, and compatibility with modern libraries—ensuring the platform is scalable and easier to maintain long-term
Streamlined key survey workflows such as data entry, analysis, and report generation by implementing automation processes, reducing human error and improving efficiency across the platform.
Integrating ChatGPT into the platform required careful handling to maintain smooth data flow and stable system communication.
Sensitive law enforcement data needed strict protection, requiring strong encryption and controlled access.
Upgrading from Python 3.5 to 3.11 involved resolving compatibility issues without disrupting existing workflows.
Shifting from AWS to a cost-effective hosting environment required precise setup to avoid downtime and performance loss.
Existing manual reporting workflows couldn’t scale, requiring streamlined automation for accuracy and speed.
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