Inspiration

As a freelancer on Fiverr, I often faced repetitive coding tasks and project setup challenges. This inspired me to build TechMind AI — a tool that empowers independent developers with AI assistance.

What it does

TechMind AI provides smart code generation, project scaffolding, and cloud integration support. It helps freelancers save time, reduce errors, and focus on creativity.

How we built it

We combined OpenAI models (Codex, GPT‑4o mini, Gemini) with cloud platforms like Microsoft Azure and Google Cloud. The backend was built with Python and Node.js, while the frontend uses React.

For math‑related tasks, we integrated LaTeX rendering, e.g.: 𝐸

𝑚 𝑐 2

Challenges we ran into

Integrating multiple AI APIs securely Managing billing and API keys across different platforms Ensuring generated code was production‑ready Time constraints during the hackathon

Accomplishments that we're proud of

Built a working prototype in less than a week Successfully integrated multiple AI models Created a user‑friendly interface for freelancers Demonstrated real‑world use cases with sample projects

What we learned

How to combine different AI models effectively Best practices for cloud deployment and API security The importance of user feedback in shaping features Collaboration and time management during hackathons

What's next for TechMind AI

We plan to expand the platform with: Marketplace integration for freelancers Advanced debugging and testing tools Support for more programming languages A mobile app for on‑the‑go coding assistance

Note
I apologize for not providing a video demo. I do not speak English fluently, so I focused on building and documenting the project instead. Thank you for your understanding.

Built With

• api
• azure
• cloud
• css
• docker
• gemini
• github
• google
• gpt?4o
• html
• javascript
• microsoft
• mini
• mongodb
• node.js
• openai
• python
• rest
• vs