Abstract: Accuplate is an advanced AI -controlled application that revolutionizes home cooking by autonomously creating adapted meals derived from the items present in the refrigerator or kitchen photos. The use of the sophisticated algorithm of the detection of Yolov5 objects, Accuplate accurately recognizes and categorizes a variety of food products, even in unfavorable environments, such as disorganized or poorly lit interiors of the refrigerator. After detecting folders, the system uses the Inception V2 model and natural language processing methods to provide recipe designs adapted to diet preferences and user limits. This smooth merger of computer vision and deep learning not only makes food preparation more efficient by providing fast and relevant recipe designs, but also supports sustainability by advising the use of available sources, reducing food waste. Accuplate improves ease and efficiency of daily cooking by removing the need for manual entry into ingredients or long recipe search. The solution works as an effective tool for kitchen automation and integrates advanced technology with user -focused design to support more intelligent and environmental cooking procedures.
Index Terms: Object Detection, YOLOv8, FastAPI, TF-IDF, Word2Vec.
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DOI:
10.17148/IJARCCE.2025.14620
