In the realm of pharmaceuticals, ensuring the integrity and traceability of drugs throughout the supply chain is paramount. This paper presents a novel approach to drug traceability leveraging blockchain technology. The proposed system provides an immutable record of drug movements, enhancing transparency and security while mitigating the risks associated with counterfeit pharmaceuticals and unauthorized diversions. Our system employs a Python-based framework integrating pandas for data manipulation and hashlib for cryptographic hashing. The process begins with the generation of a unique hash value for each drug instance, incorporating key parameters such as drug name, location, and timestamp. Subsequent transfers of drugs to new locations trigger updates to the hash value and timestamp, facilitating real-time tracking. A central feature of our system is its user-friendly interface, allowing stakeholders to seamlessly interact with the traceability platform. Through a series of menu-driven options, users can initiate drug transfers and inquire about the current location of specific drugs. Additionally, the system maintains an Excel-based repository of drug information, ensuring accessibility and ease of integration with existing infrastructures. The effectiveness of our approach is demonstrated through a proof-of-concept implementation, showcasing the system's ability to accurately trace drug movements while upholding data integrity. Furthermore, we discuss the scalability and extensibility of the proposed solution, envisioning its adoption across diverse pharmaceutical supply chains. In conclusion, our research contributes to the ongoing discourse on drug traceability and blockchain applications in healthcare. By harnessing the power of distributed ledger technology, we strive to foster trust and accountability within the pharmaceutical ecosystem, ultimately safeguarding patient welfare and promoting public health initiatives.