2 Excel projects you can finish in under an hour this weekend (June 26


Got a spare hour this weekend? These two quick Excel projects show how a few tables, formulas, drop-down lists, and formatting rules can turn a blank sheet into something genuinely useful for planning and tracking everyday life.

Plan vacations with a travel tracker

Keep your itinerary, budget, and countdown in one place

An Excel vacation planner with columns including departure and return dates, status, and a countdown, with conditional formatting color-coding the cells.

Planning a trip often means juggling booking confirmations, travel dates, accommodation details, and budgets across multiple apps and emails. A simple Excel vacation tracker pulls everything together in one place, making it easier to see how much time remains before departure, which reservations still need to be finalized, and where to find your booking information.

Step 1: Create a table (Ctrl+T or Insert > Table) with column headers for Destination, Departure, Return, Status, Board, Budget, Link, and Countdown, and format the Departure and Return columns as Date and the Budget column as Currency.


Top view of a notebook with an Excel spreadsheet, a calculator, dollar bills, and glasses beside it, with the Excel logo in the center.


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Step 2: Create drop-down lists (Data > Data Validation) for the Status column (Not Booked, Reserved, Confirmed) and Board column (SC, B&B, HB, FB, AI).

Step 3: Paste this formula in the Countdown column and press Enter:

=IF([@Departure]-TODAY()>=0, [@Departure]-TODAY(), "-")
The Countdown column in a vacation table in Excel contains an IF formula with TODAY to calculate the number of days until departure.


A laptop displaying date-related data in an Excel tracking table.


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Step 4: Apply conditional formatting rules to the Countdown column, so upcoming trips become more noticeable as departure dates get closer. For each rule:

  1. Select the Countdown column, then open the Home tab.
  2. Click Conditional Formatting > New Rule.
  3. Click Only format cells that contain.
  4. Set the following parameters and formatting:

Rule For

Rule

Formatting

Countdown column: Departure within 30 days

Cell Value between 15 and 30

Light yellow fill

Countdown column: Departure within 14 days

Cell Value between 8 and 14

Light orange fill

Countdown column: Departure within 7 days

Cell Value between 1 and 7

Light pink fill

Step 5: Finally, select the whole table (excluding the header row), and add these conditional formatting rules (via Use a formula to determine which cells to format) to highlight the whole row in green while a trip is in progress and gray once the return date has passed:

Rule For

Formula

Formatting

Whole row: Currently on vacation

=AND($B2<=TODAY(), $C2>=TODAY())

Light green fill

Whole row: Vacation completed

=$C2<TODAY()

Light gray fill with dark gray text

Now, populate the table with your upcoming (and past) holidays. As soon as you start typing on a new row, the table will grow, and the formulas and rules will automatically expand downward.

An Excel vacation planner with columns including departure and return dates, status, and a countdown, with conditional formatting color-coding the cells.

Unlike dedicated travel-planning apps, an Excel workbook can be customized to suit any type of trip. As your travel plans grow, Excel’s filtering and sorting tools make it easy to focus on upcoming trips, compare budgets, or quickly retrieve booking information without searching through emails. If you want to take your planning further, you can use a ready-made vacation planner template that helps you manage your travel, accommodation, and activities.

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Build a home inventory

Keep on top of household possessions

A home inventory table with upcoming or outdated warranty expiries higlighted in orange and a dashboard with an overall total and a subtotal.

Most people know roughly what they own, but few maintain a complete, structured record of household possessions. A home inventory tracker in Excel gives you a single place to log valuables, which can be especially useful for insurance purposes, rummage sales, moving house, or keeping tabs on warranty expiry dates.

Step 1: On row 5, create a table (Ctrl+T or Insert > Table) with headers for Item, Category, Room, Purchase, Value, and Warranty, with the Purchase and Warranty columns formatted as Date, and the Value column formatted as Currency. Name the table T_Inventory in the Table Design tab.

To select and format the Purchase and Warranty columns at the same time, select one, hold Ctrl, then select the other.

Step 2: Create a separate table—with the header Categories in cell I5—containing your categories, such as Appliances, Electronics, Furniture, Sports, and a catch-all-other option, like Other. Name it T_Categories. This will act as a dynamic source for the drop-down list you’ll add in Step 3 to the Category column in your T_Inventory table.

Step 3: Create drop-down lists for the Category column of your T_Inventory table:

  1. Select the Category column and open the Data tab.
  2. Click the Data Validation icon in the Data Tools group.
  3. Select List in the Allow field.
  4. Click inside the Source field, select the data cells in your T_Categories table, and click OK.

If you add or remove rows from your T_Categories table, the drop-down list in the Category column of the T_Inventory table updates automatically. However, this only works when both tables are on the same worksheet. If they’re on separate sheets, create a named range and use that as the validation source instead.

Step 4 (optional): If you want a quick at-a-glance summary of your values, you can create a dashboard in the empty rows above your table. For example, you could sum the values of all the items in your table in cell A3 using:

=SUM(T_Inventory[Value])

You could also add a data validation drop-down list to cell B2 and use the following formula in B3 to display the total value of the category selected in that drop-down list:

=SUMIFS(T_Inventory[Value], T_Inventory[Category], $B$2)


Microsoft Excel illustration highlighting the SUMIFS function with the Excel logo.


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Step 5: Apply conditional formatting rules to the Warranty column, so upcoming and outdated expirations are visually flagged:

  1. Select the Warranty column, then open the Home tab.
  2. Click Conditional Formatting > New Rule.
  3. Click Use a formula to determine which cells to format.
  4. Type the following formula and click Format to apply an orange cell fill:
=AND($F6<>"",$F6<=TODAY()+60)

Start adding your household items, and you’ll soon have a searchable record you can filter by room or category. The warranty highlighting also makes it easy to spot products that need attention. And if you included the dashboard, you can select different categories in cell B2 to see the contextual subtotal.

A home inventory table with upcoming or outdated warranty expiries higlighted in orange and a dashboard with an overall total and a subtotal.


Keep building useful spreadsheets

These builds show how easily Excel can be turned into a practical tool with just a few basic features. If you’re still in the mood to experiment, last weekend’s beginner-friendly projects—invoice automation, job tracking, and a shopping comparison matrix—offer more ways to reinforce core spreadsheet skills in different everyday contexts.



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TL;DR

Meta stripped NameTag facial recognition code from its AI app one day after WIRED exposed it on 50 million phones. Meta says no decision has been made.

Meta removed nearly all traces of an unreleased facial recognition system from its smart glasses companion app on Friday, one day after WIRED reported that the software had been quietly embedded in an app installed on more than 50 million phones. The feature, which Meta internally called NameTag, was designed to convert faces captured by the company’s Ray-Ban smart glasses into unique biometric signatures and compare them against a database stored on the user’s device. WIRED also found that faces the system failed to recognise were cropped, indexed, and stored locally for future processing.

Andy Stone, Meta’s vice president of communications, told WIRED on Monday that the feature is “purely exploratory,” adding that no final decision has been made on what to do with it. That characterisation sits uneasily with the evidence WIRED documented. The version of Meta AI published the day of WIRED’s Thursday report contained several code libraries explicitly named for face recognition, a process for running the NameTag recognition pipeline, and a “Person recognised” alert the app would have shown if someone were identified.

Friday’s release stripped all of it out, along with a folder where the app would have stored the cropped images and biometric signatures of unrecognised faces. Meta did not answer WIRED’s questions about why the code was removed or whether the changes were planned before the story was published. A few fragments remain in the latest version, including an internal debug menu label and a dormant link meant to open a recognised person’s profile, pointing to parts of the system that are no longer there.

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The gap between Meta’s public statements and the code WIRED found is the central tension. Before the Thursday report, Stone dismissed the findings by writing that the company could not answer questions about how the system would work because “the feature does not exist.” Andrew Bosworth, Meta’s chief technology officer, called the reporting “incredibly misleading” and “absolutely dishonest.” Yet the code was functional enough to include three AI models, one to detect faces, another to crop them, and a third to encode them as biometric data, all embedded in the companion app for a product already at the centre of a mounting privacy crisis.

Meta declined to answer ten questions WIRED posed before publishing, including whether it had already created the database of face profiles NameTag uses, how long the app retains photographs and biometric data of unrecognised people, and whether that data would ever be sent back to Meta’s servers. The company also did not respond to questions about whether it was building NameTag for blind or low-vision users, or to criticism from privacy advocates who warned the system could let stalkers and abusers identify strangers in public.

NameTag first surfaced in February, when The New York Times, citing internal Meta documents, reported that the company was developing face recognition for its smart glasses and considering a launch as early as this year. One internal memo reportedly described releasing the feature during a “dynamic political environment” when privacy and civil liberties advocates would be distracted by other concerns. WIRED subsequently found that much of NameTag’s machinery had been built into the Meta AI app as early as January, months before any public acknowledgement, adding another layer to the company’s pattern of shipping first and disclosing later when it comes to its smart glasses.

Kade Crockford, director of the technology for liberty programme at the American Civil Liberties Union of Massachusetts, said the removal does not undo the original decision to ship the code and pointed to it as evidence that consumer privacy needs stronger legal protection than Congress has been willing to provide. The Massachusetts House of Representatives last week unanimously passed a consumer privacy bill that, if enacted as written, would impose strong enforcement provisions including a private right of action allowing aggrieved users to sue. “State lawmakers need to do their job and step up to protect consumer privacy,” Crockford said.

Meta’s sneaky tactics in slipping the face-recognition code into its smart glasses show exactly why data privacy bills need the teeth of strong enforcement,” Crockford added. “Companies like Meta prioritise their bottom line, so lawmakers need to speak in the only language its C-suite understands.” Whether a code removal prompted by investigative reporting constitutes a victory or merely a tactical retreat depends on what Meta does next, and on whether the regulatory pressure building on both sides of the Atlantic produces enforceable consequences before the feature quietly returns under a different name.



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