You will get Transform Text into Engaging Voices with AI-Powered Platform
Project details
You will get your very own test to voice audio generator powered by AI, you can have voice of your own or custom voice to generate quality videos and content for your social media platforms.
AI Algorithms
AdaBoost, Autoencoder, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Regression Analysis, Transformer Model, Variational Autoencoder, YOLOAI Applications
AI Content Creation, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Art, Machine Translation, Natural Language Generation, Sentiment Analysis, Sequence Modeling, Speech Synthesis, Synthetic Data Generation, Text Recognition, Time Series ForecastingAI Development Language
PythonAI Tools
GitHub Copilot, PyTorch, Replit, TensorFlowAI Models
ChatGPT, GPT-4, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$499
|
Standard
$799
|
Advanced
$1,299
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 1 | 1 | 1 |
AI Model Integration | |||
Batch Normalization | |||
Database Integration | - | - | |
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | ||
Model Deployment | |||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | |||
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | ||
Prompt Engineering | |||
Setup File | |||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100About Naeesh
Senior AI/ML Engineer | Building Production AI Systems
Fort Wayne, United States - 4:51 pm local time
𝐈 𝐝𝐨𝐧’𝐭 𝐛𝐮𝐢𝐥𝐝 𝐟𝐫𝐚𝐠𝐢𝐥𝐞 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞𝐬. 𝐈 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐫𝐨𝐛𝐮𝐬𝐭, 𝐦𝐚𝐢𝐧𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐬𝐞𝐫𝐯𝐞 𝐫𝐞𝐚𝐥 𝐮𝐬𝐞𝐫𝐬, 𝐡𝐚𝐧𝐝𝐥𝐞 𝐟𝐚𝐢𝐥𝐮𝐫𝐞𝐬 𝐠𝐫𝐚𝐜𝐞𝐟𝐮𝐥𝐥𝐲, 𝐚𝐧𝐝 𝐦𝐚𝐤𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐬𝐞𝐧𝐬𝐞 𝐥𝐨𝐧𝐠-𝐭𝐞𝐫𝐦.
𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝
• 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Reliable architectures with monitoring, error handling, and cost controls—so your system doesn’t break at 3 AM.
• 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: AI that answers questions using your data, retrieves the right context, and knows when it doesn’t know the answer.
• 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐬: Customer support and internal tools with natural conversation flows and intelligent human escalation.
• 𝐂𝐮𝐬𝐭𝐨𝐦 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 & 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠: Domain-specific LLM fine-tuning, custom models when off-the-shelf solutions fall short, and Stable Diffusion for branded content.
• 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Multi-step workflows that actually execute—integrated with your existing tools, APIs, and business processes.
🔧 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 & 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞
• 𝐀𝐈 / 𝐌𝐋: LangChain, LangGraph, TensorFlow, PyTorch, RAG pipelines, prompt engineering
• 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Python, Node.js, TypeScript, React, Next.js, Mern, Angular
• 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make.com, API integrations, Voice AI (Coqui X TTS)
• 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Docker, cloud services, CI/CD pipelines, Airtable
• 𝐌𝐕𝐏: Bubble.io, Loveable for rapid prototyping
📈 𝐇𝐨𝐰 𝐈 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬
I start by understanding your actual business problem, not just the solution you think you need. Sometimes AI is the answer—sometimes it isn’t.
I ask the hard questions upfront:
• What happens when this fails?
• What will this cost at 10× scale?
• Can your team maintain this long-term?
𝐘𝐨𝐮’𝐥𝐥 𝐠𝐞𝐭 𝐚 𝐜𝐥𝐞𝐚𝐫, 𝐡𝐨𝐧𝐞𝐬𝐭 𝐚𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭 𝐨𝐟 𝐰𝐡𝐚𝐭’𝐬 𝐫𝐞𝐚𝐥𝐢𝐬𝐭𝐢𝐜, 𝐰𝐡𝐚𝐭 𝐢𝐭 𝐰𝐢𝐥𝐥 𝐭𝐚𝐤𝐞, 𝐚𝐧𝐝 𝐡𝐨𝐰 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐢𝐭 𝐩𝐫𝐨𝐩𝐞𝐫𝐥𝐲.
𝐘𝐨𝐮 𝐌𝐢𝐠𝐡𝐭 𝐍𝐞𝐞𝐝 𝐌𝐞 𝐈𝐟…
• You have an AI idea and need someone to build it correctly
• Your prototype works—but breaks in production
• You need AI integrated into an existing product
• Your AI costs are escalating out of control
• You want someone who understands both AI and real-world engineering
𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬
• 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜 𝐋𝐢𝐜𝐞𝐧𝐬𝐞 𝐏𝐥𝐚𝐭𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 (𝐘𝐎𝐋𝐎𝐯𝟖): Built a real-time ALPR system for vehicle identification from images and video streams that reduced manual verification by 80%, saving approximately $25,000+ annually in operational monitoring costs
• 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐄𝐧𝐭𝐢𝐭𝐲 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 (𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐞𝐝 𝐋𝐋𝐌𝐬): Fine-tuned LLMs to extract structured medical data from clinical text. Reduced manual extraction time by 65%, cutting documentation processing costs by $30,000 per year
• 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐔𝐆𝐂 𝐕𝐢𝐝𝐞𝐨 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐧𝟖𝐧): Developed a fully automated video creation pipeline converting images into UGC-style videos. Reduced production time by 90% and saved $18,000+ annually in content creation costs
• 𝐒𝐭𝐚𝐛𝐥𝐞 𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐋𝐨𝐑𝐀: Implemented LoRA-based fine-tuning for Stable Diffusion models. Reduced training compute costs by 65%, saving approximately $12,000 per model compared to full fine-tuning
• 𝐀𝐈 𝐂𝐚𝐥𝐥 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 & 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐒𝐜𝐨𝐫𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞: Built an AI-powered call analysis system to score sentiment and agent performance. Reduced evaluation time by 70%, saving $35,000 per year in QA and supervision costs
• 𝐃𝐨𝐜-𝐀𝐈 – 𝐎𝐂𝐑 & 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Built an OCR system that extracts structured data from PDFs and images, reducing manual data entry by 85% and saving $40K annually
• 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐑𝐞𝐩𝐨𝐫𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦: Developed a RAG engine that generates structured reports from technical documents, cutting report prep time by 70% and saving $22K annually.
𝐋𝐞𝐭’𝐬 𝐓𝐚𝐥𝐤
Send over your requirements, and I’ll give you a 𝐬𝐭𝐫𝐚𝐢𝐠𝐡𝐭 𝐚𝐧𝐬𝐰𝐞𝐫 on what’s possible, what it will realistically take, and whether AI is even the right approach.
Steps for completing your project
After purchasing the project, send requirements so Naeesh can start the project.
Delivery time starts when Naeesh receives requirements from you.
Naeesh works on your project following the steps below.
Revisions may occur after the delivery date.
Tell what you want to achieve after integrating the system