Developed TRIEM (Tribal Responsive Intelligent Empowerment Model), a multilingual AI voice assistant for tribal communities, enabling users to interact in Santali through real-time speech-to-speech communication. Integrated Automatic Speech Recognition (ASR), IndicTrans2 Machine Translation, Large Language Models (Groq, Gemini, Ollama), and Text-to-Speech (TTS) for intelligent multilingual interaction. Implemented preprocessing techniques including noise reduction, audio normalization, and Voice Activity Detection (VAD) to improve speech recognition accuracy. Built a fallback mechanism using Ollama as a local offline backup model during API or internet failures, ensuring uninterrupted response generation. Focused on improving digital accessibility for tribal users in areas such as education, healthcare, agriculture, and government services. Tech Stack: Python, ASR, NLP, IndicTrans2, Groq, Gemini, Ollama, TTS, VAD, AI Speech Processing.