Write an AI assistant

Budget: 700 UAH Deadline: 1 day

Good day.

The development of an artificial intelligence assistant for analyzing and optimizing Google Ads campaigns is a highly effective solution that will automate the work of PPC specialists and significantly reduce the cost per acquisition (CPA) for your business or clients.

Since the budget specified in the order is purely conditional, the final cost and development timelines will depend on the depth of analytics and the level of integration (for example, whether there will be the ability to apply recommendations directly from your dashboard with one click via the Google Ads API, or if it will be purely a consultative interface).

Budget: 700 UAH Deadline: 5 days

The narrowest point here is not the AI itself, but access to campaign data. The official Google Ads API requires OAuth and an approved developer token - this is not a matter of a couple of days. I have a similar working pattern: accessibilityscanner.top analyzes and provides ready recommendations. One question: do you need a chat assistant on top of the metrics or a dashboard with fixed optimization rules? Let's discuss the details in correspondence.

Budget: 3000 UAH Deadline: 4 days

Good day! I will take your project — I will create an AI assistant that connects to your Google Ads via the official API, extracts campaign data (spending, CTR, conversions, ROAS, PMax channels), and provides specific optimization recommendations in clear language.

Stack: Python + Google Ads API + LLM for analysis, a lightweight web interface — a panel with a dashboard or a chat assistant, whichever is more convenient for you. I have already created a similar Google Ads analytics tool with recommendations, so working with the API and report logic is familiar territory.

I am starting with a favorable price: I am gathering initial reviews on Freelancehunt, so I will create a working MVP version for your task, and we will agree on the full scope (the budget is negotiable). Approximately 3000 UAH for the MVP, 4 days. I am ready to show the approach and a live demo flow to the solution.

One clarification: should the assistant pull data from one Google Ads account or multiple through MCC, and do you prefer a web panel with a dashboard or a chat assistant that answers questions about campaigns?

Petro Pankov, BotCraft Group

Budget: 700 UAH Deadline: 5 days

Google Ads eats up the budget, and you can't see where exactly — a typical situation where campaigns work, but no one knows why some bring in leads while others just burn money. An assistant that connects to the account and provides specific recommendations is exactly what removes the blind spots.

What I will do for this money:
• Connect to Google Ads via API (reading campaigns, ad groups, keywords)
• Analyze key metrics: CTR, conversions, cost per conversion, budget expenditure
• Logic of recommendations: what to turn off, where to raise bids, which keywords are wasting the budget unnecessarily
• Simple web interface — report dashboard with specific actions

The assistant doesn't just show numbers — it says "turn off this group, it consumed 40% of the budget with zero conversions." This saves hours of manual analysis and thousands of hryvnias on ineffective traffic.

I am currently completely free — I have no other projects in progress, I will dedicate all my attention to this and start today.

After delivery, I won't disappear — I will help with connecting your real account, edits, and improvements at no additional cost.

Write to me — and in 10 minutes, I will outline a plan: which specific metrics to pull from Google Ads and how to formulate recommendations. Expand

Budget: 20000 UAH Deadline: 20 days

Good day. AI is good at one thing: writing text based on what it has been given. It does not see the advertising cabinet itself, does not know how much money has been spent, and how many people have bought the product. All of this needs to be extracted from Google first, cleaned up, and calculated correctly, and this is where the main work lies, not in the AI itself.

Extracting this data is not so simple either. Google takes a long time to verify access to real accounts, and until the verification is passed, one can only work with a fake test account without any real figures. Some important data, such as information about competitors in the auction, Google does not provide programmatically at all, only manually through the interface, and this is a built-in limitation that cannot be bypassed by any code.

Even more importantly, numbers without context are dangerous. If the CTR for a keyword drops over a week, it could be a real problem, or it could be seasonality, a glitch on the site, or the fact that the campaign is just still learning to show to the right people. If the assistant advises something based on bare numbers without understanding the context, it will do more harm than good. To avoid this, there needs to be embedded expertise in the logic of a person who understands advertising, not just the general cleverness of a language model.

Checking whether a change in the campaign actually improves something is an A/B test, and it requires several weeks of parallel work of the old and new versions until enough data is gathered. This means AI physically cannot provide an instant guarantee of results; any honest answer requires time for verification.

And if the assistant is given the right to change something in the campaign, such as pausing keywords or changing bids, any mistake in logic immediately costs the client real money, so such actions must always be confirmed by a person, not executed automatically.

So this is not a one-night project with a prompt for a chatbot. Generating text with advice is the simplest part. The main work and the majority of the time go into collecting and correctly interpreting data, into expertise in advertising itself, and into checking whether the advice actually works on real campaigns. Expand

Budget: 3000 UAH Deadline: 5 days

Hello, Evgeny!
Stack: Python (FastAPI) on the backend, official Google Ads API Python client for data extraction, LLM (Claude/GPT API) for metric analysis and generating recommendations, web dashboard on React for display.

What I will do:
- Connect to Google Ads API (developer token and account access need to be arranged in advance - this may take longer than the development itself)
- Before sending data to LLM, I will aggregate metrics and highlight anomalies (drop in CTR, increase in cost per conversion) through a separate Python module - otherwise, the model either wastes tokens on raw numbers or gives general advice without benefit
- Text recommendations for optimization + web dashboard with campaigns
- 2 weeks of free support after delivery - if Google Ads changes something in the API or additional adjustments to the analysis logic are needed, I will fix it at no extra charge.

Expenses for LLM requests are separate from development - approximately $10-30/month with a small volume, due to preliminary data filtering, the cost is lower than sending raw metrics directly.

Budget: 27000 UAH Deadline: 21 days

Hello! I have practical experience working with the Google Ads API, so I fully understand the main architectural challenge of this project: you cannot simply send raw campaign data to the AI. To prevent the system from hallucinating and wasting thousands of dollars on OpenAI/Gemini tokens, the backend on Laravel must first independently aggregate metrics in MySQL, detect anomalies (drops in CTR, exceeding CPA, ineffective keywords), and send already filtered structured JSON to the AI. Since requests to Google Ads and LLM take time, I will build all the logic on asynchronous queues (Laravel Queues) to ensure the website interface runs smoothly and does not freeze. I am ready to implement secure OAuth authorization for accounts and reliable prompt engineering.

Budget: 700 UAH Deadline: 1 day

Good day! I am a Python developer with experience in implementing AI solutions in business processes. I have already encountered similar tasks related to automating analytics, so I am ready to implement functionality for your project. To assess the cost and timelines, I need more specifics: where exactly we will be obtaining the data from and in what format you would like to see the final recommendations. Let's discuss all the details in private messages, and I will propose the optimal solution.

Budget: 700 UAH Deadline: 3 days

Good day!

I am a full-stack developer. Stack: Next.js, TypeScript, React, Node.js, Python, PostgreSQL/Prisma.

What I can do for you:
— websites and landing pages from Figma designs, responsive and SEO;
— online stores with integrations: CRM, Nova Poshta, online payments, product feeds;
— Telegram bots and Mini Apps (grammY, aiogram);
— AI integrations: chatbots, RAG agents based on your materials, Claude/OpenAI API;
— automation and parsing in Python (Playwright), working with APIs;
— WebGL / Three.js — interactive 3D scenes and shader animation;
— deployment and server setup: Docker, Nginx, SSL, backups, monitoring.

The code and access will be entirely yours after completion. I work through Safe, in phases with clear deadlines and transparent communication. Languages: Ukrainian, Russian, English.

Please write the details of the task — I will provide an estimate and timeline and send examples of my work. Expand

Budget: 700 UAH Deadline: 1 day

Hello, Evgeny!
I have extensive experience in the field.

I will do it for a review - feel free to contact me.

Budget: 700 UAH Deadline: 1 day

Good day!

The task is generally clear, but to propose an adequate price and timeline, I need to clarify a few points:

1. Is this a one-time tool (upload data → receive recommendations) or a service with ongoing access/subscription that will operate on a regular basis?
2. Do you have access to the Google Ads API (developer account, tokens), or does this need to be set up from scratch?
3. Are the recommendations just a text analysis (via LLM) or is visualization/dashboard with metrics needed?
4. What budget have you realistically allocated — 700 UAH clearly does not reflect the scope of such a task, and I would like to understand the range of figures to avoid wasting your and my time.

After clarifications, I will be able to provide an accurate estimate for the timeline and price.

I am ready to take this on if we can agree on the scope and budget. Expand

Budget: 2000 UAH Deadline: 7 days

A website with an AI assistant that analyzes Google Ads campaigns requires integration with the Google Ads API to obtain data and LLM (for example, OpenAI API) to generate recommendations. I will create a backend in Python using Flask/FastAPI that will pull campaign data through the Google Ads API, process it, and send it to the LLM for analysis and recommendations, while the frontend will be React or Vue for a user-friendly interface to display the results. I offer 2 weeks of free code support after delivery—API integrations may require debugging with changes in Google Ads or clarifications in the analysis logic. I am ready to start.

Budget: 700 UAH Deadline: 1 day

Hello! I will complete your task quickly and efficiently. I will write an assistant.

My recent works
https://indexfast.pro - fast website indexing
https://mono-bank.pp.ua - everything about Monobank
https://mamamia.pp.ua - online store
https://programist.pp.ua/ua/portfolio/ - portfolio of works
https://monitortest.pp.ua - monitor testing
https://keytest.pp.ua - keyboard testing
https://pctest.pp.ua - computer testing
https://devroman.dev/portfolio/ - portfolio
https://vseetut.matviy.pp.ua - layout
https://indexfast.pp.ua - fast website indexing

My portfolio: https://freelancehunt.com/ua/freelancer/romas6ka.html#portfolio
Write to me, I will start working today. I will be glad to cooperate with you! Expand

Budget: 5000 UAH Deadline: 6 days

Get a web assistant that connects to the Google Ads API, analyzes campaigns, and generates specific recommendations through LLM — what to reduce, what to scale, where the budget is being lost.

I have built LLM agents based on Anthropic Claude and OpenAI: the pipeline "data → context → prompt → structured response" is my main specialization. Backend on FastAPI, integration with Google Ads through the official Python client, simple web interface for displaying recommendations.

The workload is about 25 hours. It is important to clarify: which specific metrics and entities need to be analyzed (campaigns, ad groups, keywords), whether export is needed, and what level of UI detail is expected.

Message in the chat — let's discuss the details and get started.

Budget: 700 UAH Deadline: 1 day

Hello! I am interested in your project and ready to take on the development of a web service with an AI assistant for analyzing Google Ads campaigns.

We can implement the connection of advertising accounts through the Google Ads API, automatic collection of key metrics, and a user-friendly dashboard. The assistant will be able to analyze expenses, conversions, CTR, CPC, CPA, ROAS, search queries, keywords, ads, and budget allocation.

Based on the analysis results, the system will identify problem areas and provide specific recommendations: disabling ineffective keywords, adding negative keywords, adjusting bids and budgets, improving ads, reallocating expenses between campaigns, and finding growth points.

We can also add a chat with AI, regular reports, notifications about critical changes, and a history of recommendations. I am ready to discuss the necessary functionality, service structure, timelines, and budget.

Budget: 700 UAH Deadline: 7 days

A web service is needed that connects to Google Ads and provides specific campaign recommendations through AI: what cuts the budget, where the CTR is low, what should be turned off.

I will do it this way: the backend on Python/FastAPI retrieves data through the Google Ads API (OAuth2 + refresh token), sends metrics to GPT-4 with a prompt for ad analysis, and the frontend on React displays recommendations for each campaign. A key point: the prompt needs to be structured so that the model receives structured data (CPC, CTR, conversions, spend), not raw JSON; otherwise, the recommendations will be general and useless.

How many Google Ads accounts need to be connected, and is authorization needed for different users, or is this a tool for a single account?