A Student Detail Management System is a Python-based console application that simplifies managing student, staff, academic, and transport records through voice commands. It utilizes speech recognition and text-to-speech (TTS) to minimize manual input, making it an intuitive and user-friendly system.
Ensure you have the required libraries installed:
pip install speechrecognition pyttsx3 fuzzywuzzy keyboard
The system is modular and categorized into different functional sections:
speak(text): Converts text to speech.recognize_speech(): Captures voice input and converts it into text.match_command(command, options): Matches spoken commands to predefined options using fuzzy string matching.def_main_menu(): Displays the main menu and handles voice navigation.def_student_menu(): Handles student-related operations.def_add_student(): Adds a student record.def_view_students(): Displays all students.def_remove_student(): Deletes a student record.def_search_student(): Searches for a student by roll number.def_update_student(): Updates student details.def_staff_detail(): Manages staff details.def_add_student_s(): Adds staff records.def_view_students_s(): Displays all staff members.def_remove_student_s(): Deletes a staff record.def_search_student_s(): Searches for a staff member.def_update_student_s(): Updates staff records.def_academic_list(): Handles academic data.def_add_student_a(): Adds academic details.def_view_students_a(): Displays academic records.def_remove_student_a(): Deletes an academic record.def_search_student_a(): Searches academic details.def_update_student_a(): Updates academic records.def_transport_detail(): Manages transport records.def_add_student_t(): Adds transport details.def_view_students_t(): Displays transport records.def_remove_student_t(): Deletes a transport record.def_search_student_t(): Searches transport details.def_update_student_t(): Updates transport records.exit to close the application.This voice-controlled student management system eliminates tedious manual input, making data handling effortless. The combination of speech recognition and text-to-speech improves accessibility. Future upgrades could include a GUI and database integration for enhanced performance and scalability.
Both versions are well-commented to aid your understanding. If you have any questions or need further clarification, feel free to create an issue in either repository, and I will be happy to assist you.