Other projects

Anki Cam

Co-founded by Rumaan Khan, Anki Cam is a pioneering project aimed at reducing food waste at Harvard University dining halls. Using advanced AI image detection technology, Anki Cam scans tray returns to calculate the amount of food waste generated.

The camera system is designed to be robust, housed in a durable shell inspired by the ankylosaurus—a dinosaur known for its armor-like exterior. This protective casing allows Anki Cam to withstand the rigorous cleaning processes typical in tray return systems, ensuring longevity and resilience.

How it Works
  • The system captures images of food trays, with each image saved both locally and in cloud storage.
  • AI, trained with thousands of images, analyzes the trays to provide accurate estimates of food waste in pounds.
  • The data is then used to understand dining habits and reduce overall waste.
Current Progress

We have successfully developed and tested prototypes in controlled environments. The next phase involves testing on-campus at Annenberg Hall, with plans to scale up across multiple dining halls at Harvard.

RecAIcle

RecAIcle, co-founded by Rumaan Khan, is an innovative platform designed to revolutionize waste disposal. By using cutting-edge AI image recognition software, RecAIcle identifies various types of waste and directs users on how to properly dispose of each item.

The system is incredibly easy to use. Simply snap a picture of the item in question, and RecAIcle will instantly tell you whether it should be recycled, composted, or disposed of at a specialized location (such as for batteries or hazardous materials).

Technology Behind RecAIcle
  • The platform is powered by Python and AWS, ensuring fast and reliable processing.
  • With an intuitive interface, users can quickly and effortlessly determine the correct disposal method, promoting better environmental habits.
Looking Ahead

The platform is set to grow. With plans to incorporate over 10,000 additional images within the model’s training, RecAIcle’s AI will become even more accurate and efficient, helping to reduce pollution and improper waste disposal.