| 1. ~~groq + openai~~ | |
| 2. ~~hf dataset + local dir + csv upload~~ | |
| 3. generate graphs | |
| 4. generate report - tab 1/ tab 2 | |
| 5. Patent Acceptance Prediction | |
| 6. Patentibility check based on Abstract + Claims | |
| 7. Abstract + Claim Summarization | |
| 8. Abstract-to-Claim and Claim-to-Abstract Generation | |
| Questions: | |
| - What is the trend of patent filings over time? | |
| - What is the distribution of patents categorized as 'ACCEPTED', 'REJECTED', or 'PENDING'? | |
| - What is the average time difference between the filing date and the patent issue date? | |
| - What are the most common CPC labels in the dataset? | |
| - Which examiners have reviewed the most patents? | |
| - How does the acceptance or rejection rate vary across years? | |
| - What is the average length of abstracts for accepted versus rejected patents? | |
| - Which IPC labels are most associated with accepted patents? | |
| - Are there any seasonal trends in the filing of patents? | |
| - What is the distribution of CPC or IPC labels for patents still marked as pending? | |
| Observation: | |
| 1. Fails when the size of the dataset is large. | |
| 2. Sometimes fails even when the dataset size is small; unreliable! |