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| EVALUATIONS | |
| able to differentiate between swiggy based queries or not | |
| able to break prompts into 2 instruction. First instruction will be extracting dates. | |
| second instructions will be analysing the data scrapped. | |
| able to extract dates | |
| able to extract the analysis: | |
| -How much non-veg did I order last week / between date X and date Y? | |
| -Counts and/or total rupees spent on non-veg dishes. | |
| -What was my total expense between date X and date Y? | |
| -What is my average daily spend on Swiggy (overall or for a given period)? | |
| -Which restaurant got the most orders (or the most money) in that period? | |
| -What single order cost me the most during that window? | |
| -Show a day-by-day spend chart between date X and date Y. | |
| -List every item I’ve ordered only once—my “one-hit wonders.” | |
| -How many unique cuisines did I try in the last month? | |
| -Compare veg vs. non-veg spend for the current calendar year. | |
| -When was my longest streak of days without ordering anything? | |
| -Identify any “late-night” orders placed after 11 p.m. this week. | |
| -Tell me my top three most-ordered dishes in the past six months. | |
| -Which new restaurant did I try most recently, and what did I order? | |
| -Forecast next month’s spend based on my last three-month trend. |