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I’m upgrading the Voice AI inside my “Revise like a Teacher” app and need it to go beyond simple speech-to-text. The engine must pick up the learning context behind a student’s words, recognise references in previous-year exam questions or textbook passages, and then respond as naturally as a real teacher would. The core objective is therefore enhanced understanding of context; raw recognition accuracy and voice quality are already acceptable. You’ll be working with curriculum-heavy material, so domain-adapted language models, embeddings or custom transformers that can digest educational phrasing are welcome. Whisper, DeepSpeech, Kaldi, PyTorch- or TensorFlow-based pipelines are all fine as long as latency stays low for mid-range devices. To move forward I need a detailed project proposal rather than a generic CV. In it, outline: • Your plan for collecting / formatting training data drawn from textbook chapters and past exam papers • The fine-tuning methodology and evaluation metrics you’ll use to prove contextual comprehension gains • Expected training time, model sizes, deployment approach and any privacy safeguards Deliverables 1. Fine-tuned model or API ready for drop-in use inside the Flutter app 2. Demo that interprets a sample textbook section plus a set of past questions, then answers voice queries context-sensitively 3. README with clear setup and reproducible test instructions Once I can see a solid path to measurable context awareness, we’ll kick things off immediately.
Project ID: 40264000
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Active 4 mos ago
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9 freelancers are bidding on average ₹1,050 INR for this job

Hi, Context-Aware Voice AI Tuning "", We provide complete frontend to backend development with clean, scalable, and high-performance solutions tailored to your requirements. Our experienced team ensures modern UI/UX, secure architecture, smooth functionality, and full support until successful deployment. Let’s build a reliable and impactful product together. Regards, Muhammad Abdullah
₹1,050 INR in 7 days
7.1
7.1

As an experienced Python and Machine Learning Expert, I am confident that I possess the expertise required to deliver the "Context-Aware Voice AI Tuning" project you have described. I am well-versed in designing and deploying AI solutions, and have a firm grasp on the complexities of algorithmic design and large-scale data processing. These skills will be invaluable for fine-tuning your app's Voice AI. In order to meet your project's requirements, I plan to collect and format training data specifically tailored to educational contexts using textbook chapters and past exam papers. For the fine-tuning phase, I propose using a combination of Python-based frameworks such as TensorFlow or PyTorch to train models that will incorporate curriculum-specific language models, embeddings, or custom transformers for better contextual comprehension. I understand that latency is a key concern for your app, especially for mid-range devices. My experience in optimizing model sizes, training time, and even deployment approaches positions me well to address this issue. Lastly, privacy safeguards hold great importance in any data-driven application; rest assured, I will uphold the highest standards of data privacy and protection throughout the project lifecycle.
₹1,000 INR in 7 days
1.9
1.9

I am nganou silas,I have bachelor degree and also five years experience I know if you choose me for this job I will be the most experienced to do it thanks for your kind attention
₹1,050 INR in 7 days
0.0
0.0

I recently delivered a project with this exact scope, enhancing AI to interpret educational context beyond simple speech-to-text. Your need for a seamless, integrated, and user-friendly Voice AI that understands curriculum-heavy material aligns perfectly with my approach. I leverage domain-adapted language models and custom transformers fine-tuned on curated textbook and exam data to ensure clean and professional contextual comprehension. While I am new to freelancer, I have tons of experience and have done other projects off site, specializing in low-latency PyTorch and TensorFlow pipelines optimized for mid-range devices. I would love to chat more about your project! Regards, MN Williams
₹1,150 INR in 14 days
0.0
0.0

We can enhance your “Revise like a Teacher” app by fine-tuning a voice AI that not only transcribes but understands educational context and responds naturally. Here’s our proposed approach: 1. Data Collection & Formatting Aggregate structured content from textbook chapters, past exam papers, and teacher notes. Segment text into question-answer pairs, explanations, and contextual references. Convert all data into embeddings suitable for transformer-based models, ensuring consistency in formatting, tokenization, and domain-specific terminology. 2. Fine-Tuning Methodology Leverage pre-trained models (Whisper / DeepSpeech / PyTorch Transformers) as a base. Apply curriculum-aware embeddings to improve contextual understanding. Train using supervised fine-tuning on paired prompts and responses, with reinforcement learning on correctness and relevance. Evaluation metrics: BLEU/ROUGE for accuracy, semantic similarity for contextual comprehension, and response latency under 300ms for mid-range devices. 3. Deployment & Privacy All training & inference processes adhere to strict privacy standards; no sensitive student data stored permanently. Deliverables Fine-tuned model or API ready for Flutter integration. README with clear setup, usage, and testing instructions. Expected Timeline Fine-tuning & evaluation: 2–3 weeks Integration & demo: 1 week We ensure measurable improvement in context awareness while keeping latency low for real-time student interaction.
₹600 INR in 9 days
0.0
0.0

Secunderabad, India
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