Automated Method of Identifying Troubleshooting and System Repair Instructions Using Complementary Machine Learning Models

A system comprising:

• a processor;
• a data bus coupled to the processor;
• and
• a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
• receiving information regarding symptoms related to a faulty device;
• storing the information with other historical information regarding the symptoms;
• receiving additional information as the faulty device is diagnosed;
• indicating whether a repair recommendation is provided for the faulty device;
• and
• using the stored information, historical information, and additional information to provide a repair recommendation if indicating shows no repair recommendation.

A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

• receiving information regarding symptoms related to a faulty device;
• storing the information with other historical information regarding the symptoms;
• receiving additional information as the faulty device is diagnosed;
• indicating whether a repair recommendation is provided for the faulty device;
• and
• using the stored information, historical information, and additional information to provide a repair recommendation if indicating shows no repair recommendation.