FINAL YEAR PROJECT · AI & VOICE
VocalFusion
AI voiceover generation for multilingual speech, video synchronization, and a single web-based content workflow.
Final Year Project — National Textile University
Role
Computer Science Final Year Project — designed and built the platform end to end.
Period
2025
Platform
Web
Primary Stack
JavaScript · Python · AI/TTS Models
The Problem
Challenge & Objectives
Generating multilingual voiceovers and keeping them in sync with video is usually split across separate tools instead of one web workflow.
The Solution
Architectural Strategy
VocalFusion combines AI voice generation, text-to-speech, and video synchronization in a single web-based content workflow.
My Contribution
What I implemented
I designed and implemented the complete platform as my Computer Science Final Year Project at National Textile University.
- Designed and built the web workflow end to end as a Computer Science Final Year Project.
- Implemented text-to-speech generation for multilingual voiceovers.
- Built audio-video synchronization for generated speech.
System Architecture
A web interface drives AI/TTS voice generation. Generated audio then feeds a video and content workflow for synchronization and automated content creation.
Key Features
- 01Multilingual AI voice generation from text
- 02Text-to-speech synthesis in one web workflow
- 03Audio-video synchronization for generated voiceovers
- 04Automated content creation from generated speech
Technology Breakdown
Frontend
- JavaScript
- Web Media APIs
Backend
- Python
- Audio Processing
Integrations
- AI/TTS Synthesis Models
Impact & Outcome
Delivered as an end-to-end Computer Science Final Year Project at National Textile University. Academic project — no public live deployment.
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