I’m a Software Engineer & App Developer focused on building modern applications, AI-powered solutions, and automation systems. I work with Flutter, React, Next.js, Python, FastAPI, APIs, Firebase, and AI/LLM integrations to build reliable and user-friendly digital products. What I Do • Software & App Development • AI Integrations & Automation • Flutter Application Development • React & Next.js Development • Python & FastAPI Backend Development • REST API Integration • Firebase Integration • AI/LLM-Powered Applications • UI/UX Implementation I enjoy turning ideas into practical products, from AI automation platforms and voice assistants to business websites and application solutions. My focus is on clean development, smooth user experiences, scalable integrations, and solving real-world problems with technology.

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📘 Project Title AI Voice Assistant using Speech-to-Text, LLM API, and Text-to-Speech 🧩 Project Domain / Category Artificial Intelligence / Natural Language Processing / Speech Processing / Web Application 📄 Abstract / Introduction With the rapid advancement in Artificial Intelligence, voice-based systems have become an essential part of modern applications such as virtual assistants, customer support systems, and smart devices. These systems rely on a combination of Speech-to-Text (STT), Natural Language Processing (NLP), and Text-to-Speech (TTS) technologies to interact with users in a natural and efficient manner. This project focuses on developing an AI-powered voice assistant that can listen to user input through speech, convert it into text, process the input using a Large Language Model (LLM) via API, and generate a meaningful response. The response is then converted back into speech to provide a complete conversational experience. The proposed system eliminates the need for manual text input and demonstrates how modern AI services can be integrated to build intelligent, real-time applications. This project will help students understand API integration, speech processing, and modular system design. 🎯 Objectives To build a voice-based AI assistant To integrate Speech-to-Text for voice input processing To use an LLM API for generating intelligent responses To convert generated text into speech using TTS To develop a user-friendly interface for interaction ⚙️ Functional Requirements 🔹 1. Audio Input (Speech Capture) Capture user voice input using microphone Record audio in a suitable format (WAV recommended) 🔹 2. Speech-to-Text (STT) Convert recorded audio into text Ensure reasonable accuracy for short sentences Handle basic noise and pauses 🔹 3. LLM API Integration Send user text input to an LLM via API Receive and process the response Ensure proper API handling (authentication, request/response) 🔹 4. Text Processing Clean and format the text before sending to API Optionally include system prompts for better responses 🔹 5. Text-to-Speech (TTS) Convert AI-generated text into speech Play the response audio to the user Ensure clarity and proper pronunciation 🔹 6. Conversation Flow Maintain a loop for continuous interaction Allow user to exit using a command (e.g., “exit”, “stop”) 🔹 7. User Interface Provide a simple interface (CLI or Web-based) Show: User input (text) AI response (text) Audio playback 🔹 8. Error Handling Handle cases where: Audio is unclear API fails No input is detected 🧠 Non-Functional Requirements System should respond within a reasonable time (2–5 seconds) Code should be modular and well-structured API keys must be securely stored (e.g., environment variables) Application should be easy to run and test 🔬 Project Workflow Capture voice input Convert speech → text (STT) Send text → LLM API Receive response Convert response → speech (TTS) Output audio + display text 🧪 Tasks / Implementation Steps ✅ Phase 1: Research & Setup Understand STT, LLM APIs, and TTS Set up development environment ✅ Phase 2: Audio Processing Implement audio recording functionality Store and manage audio files ✅ Phase 3: STT Integration Convert audio input into text Test accuracy with different inputs ✅ Phase 4: LLM API Integration Register and obtain API key Send requests and handle responses Optimize prompts for better output ✅ Phase 5: TTS Integration Convert generated text into speech Ensure smooth playback ✅ Phase 6: System Integration Connect all modules (STT + API + TTS) Implement continuous interaction loop ✅ Phase 7: UI Development Develop a simple user interface Display input/output clearly ✅ Phase 8: Testing & Evaluation Test with multiple voice inputs Evaluate response accuracy and speed 📊 Evaluation Criteria Accuracy of speech recognition Quality of AI-generated responses Smoothness of speech output System response time Code structure and modularity User interface usability 📚 Prerequisites Basic knowledge of Python Understanding of APIs and HTTP requests Basic understanding of AI/NLP concepts Familiarity with audio processing (optional) 🛠️ Tools & Technologies Language: Python Environment: Jupyter Notebook / VS Code / PyCharm / Google Colab Libraries: Speech Processing (STT) API handling (requests/OpenAI SDK) Text-to-Speech (TTS) Audio processing (OpenCV optional for UI integration) 🚀 Optional Enhancements (Bonus) Add wake word detection (e.g., “Hey Assistant”) Implement real-time streaming (reduce delay) Add memory for conversation context Develop a web app using Streamlit or Flask Integrate with external services (e.g., weather API, WhatsApp bot)

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Roadmap – Learning & Career Planning Platform A modern roadmap platform designed to help users organize their learning journey, follow structured paths, and understand the steps required to achieve their career and development goals. I worked on the application with a focus on clean UI, responsive design, easy navigation, and a practical user experience.Key Features• Structured learning roadmaps • Step-by-step progress tracking • Clean and responsive interface • User-friendly navigation • Organized learning content • Mobile-friendly designMy RoleI worked on the application development and UI implementation, focusing on creating a smooth and intuitive experience for users.TechnologiesFlutter • UI/UX • Responsive Design • API Integration

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🚀 Building modern digital experiences with technologyThis project showcases my work as a Software Engineer & App Developer, focusing on clean UI, practical functionality, and modern development technologies.

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Izaz Akbar

Software Engineer&App Developer|AI Integrations & Automation