- Developed a project leveraging T5 transformers from Hugging Face for fine-tuning, trained on a dataset to perform natural language to SQL query conversion.
- Utilized system analysis tools, including class, sequential, and E-R diagrams, to guide the project to successful completion.
- Implemented functionalities to extract SQL queries from natural language input, as well as translation from Turkish to English, using Python and T5 transformers.
- Integrated the system with a GUI using Python’s Tkinter module, allowing users to generate SQL queries by inputting either Turkish or English sentences.
- For installation, download the provided files and move the "pytorch_model.bin" file from the sql_model folder to the sql_model directory. Similarly, move the "pytorch_model.bin" file from the tr_eng folder. You can download the files from insert link here.