You will get Multi-LLM Hub: Stories, Summaries & Translations Across AI Models
Rising Talent

Rising Talent

Project details
Unlock a unified LLM hub that delivers creative stories, concise summaries and fluid translations across multiple AI providers. I integrate models from OpenAI, Anthropic, Gemini, Hugging Face and more, delivering a polished Streamlit/FastAPI application with secure API‑key management, custom model support and thorough testing. With 6+ years of experience in AI and software engineering, I'll tailor the deployment to your needs and provide clear documentation and support.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Machine Translation, Natural Language GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, StreamlitAI Models
ChatGPT, DALL-E, GPT-3, GPT-4, LLaMAWhat's included $300
These options are included with the project scope.
$300
- Delivery Time 7 days
- Number of Revisions 2
- AI Model Integration
- Model Documentation
- Natural Language Processing
- Prompt Engineering
- Setup File
About Akshay
Software Developer | Generative AI & Chatbot Expert | ML
Mumbai, India - 5:43 pm local time
I’m a results‑driven Software Developer & Gen AI Expert with 6+ years of experience solving business problems using Machine Learning, Deep Learning, and Generative AI solutions. My focus is on models that are accurate, explainable, scalable and ROI‑focused — I’ve helped clients automate processes and achieve 20% annual growth by integrating AI into their operations.
Here’s what I bring to the table:
• Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Power BI
• Machine Learning: Scikit‑learn, XGBoost, LightGBM, hyperparameter tuning
• Deep Learning: TensorFlow, Keras, PyTorch (including transformers and generative models for NLP, computer vision & time series)
• Generative AI & NLP: Chatbots, prompt engineering, sentiment analysis, topic modeling
• End‑to‑End Projects: Data cleaning, feature engineering, model deployment (Streamlit, Flask, FastAPI)
• Cloud & Deployment: AWS, GCP, Docker, Git, CI/CD
• Business Use Cases: Predictive analytics, fraud detection, churn prediction, recommendation systems, AI integration & automation
I also build AI‑powered chat agents and integrate generative AI models into existing products. My strong communication skills ensure that stakeholders understand the "why" behind the algorithms and can act on insights.
Whether you need a one‑time analysis or a complete AI system built from scratch, I can deliver with clarity, speed, and impact. Let’s talk about how we can make your data and AI work for you.
Steps for completing your project
After purchasing the project, send requirements so Akshay can start the project.
Delivery time starts when Akshay receives requirements from you.
Akshay works on your project following the steps below.
Revisions may occur after the delivery date.
Collect API keys & preferences; set up repo & environment
Gather keys and requirements, then initialize the codebase and configure environment.
Develop & Integrate Multi-LLM Features
Implement story, summary & translation features using selected LLMs; test outputs.