Aim: Oral squamous cell carcinoma (OSCC) remains a leading cause of cancer morbidity in India, with survival strongly influenced by pathological risk factors. We aimed to develop and internally validate prognostic nomograms for disease-free survival (DFS) and overall survival (OS) in a large cohort of surgically treated OSCC patients. Methodology: We retrospectively analyzed 477 patients undergoing primary surgery for OSCC between 2017 and 2024. Clinicopathological covariates included depth of invasion (DOI), nodal burden, extranodal extension (ENE), perineural invasion (PNI), lymphovascular invasion (LVI), worst pattern of invasion (WPOI), lymphocytic response, histologic grade and age. Cox proportional hazards models were constructed for DFS and OS. Model performance was assessed using Harrell’s C-index, time dependent area under the curve (AUC), bootstrap validation, and graphical calibration at 2 and 5 years. Nomograms were developed to provide individualized predictions. Results: At a median follow up of 54 months, 5 year DFS and OS were 51% and 56%, respectively. On multivariable analysis, DOI >10 mm, 3 or more metastatic nodes, ENE positive , PNI positive, LVI positive, WPOI Type IV-V, weak lymphocytic response, and poor histology independently predicted worse survival. The optimism-corrected C-index was 0.69 for DFS and 0.72 for OS. Time-dependent AUCs were 0.74 and 0.76 for DFS at 2 and 5 years, and 0.75 and 0.74 for OS, respectively. Calibration demonstrated strong agreement between predicted and observed survival. Baseline survival for reference patients was 0.86 and 0.73 for DFS, and 0.91 and 0.82 for OS, at 2 and 5 years, respectively. Conclusion: Proposed nomograms incorporating key pathological factors provide individualized 2 year and 5 year survival estimates in OSCC, outperforming AJCC stage and supporting tailored adjuvant therapy. Conflict of interest Authors declare no conflict of interest.