This paper is proposed for early tumor detection by photonic crystal tweezers with the use of a support vector machine (SVM) and artificial intelligence (AI)-based K-nearest neighbor (KNN) technique. Tumors are very serious and can cause more serious problems with human cells when infected. Previously, photonic crystal tweezers were used to detect tumor cells and proved very effective in many types of tumor detection. Among different AI techniques like K- nearest neighbor (KNN), Adoptive Neuro Fuzzy Inference System (ANFIS), Fuzzy KNN (FKNN), Support Vector Machine (SVM) and probabilistic neural network (PNN); SVM and KNN observed accuracy of 96% and 92% respectively while the sensitivity is important observed by these two techniques are 32,358 nm/RIU and 11,258 nm/RIU was observed to be 1.251 and 1.337 for tumor cells, respectively. Majorly the research is supposed to offer advantages early detection of infected tumor cells by implication of tweezers with AI.