Flutter developer intern
1mo
Kalakumbh, May 23' - Jun 23'
V Gayathri
@veesesh
geeks out over tech and loves vibing with communities
geeks out over tech and loves vibing with communities
Hyderabad, India
1
project
1
1
prize
1
4
hackathons
4
0
Hackathons org.
0
73
contributions in the last year
Apr
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W
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Mar
2
stars earned
56
repositories
12
followers
1 month
May 23' - Jun 23'
Designed, developed, and maintained web and mobile application using Flutter and Supabase
Participated in code reviews and worked collaboratively with development team to identify and solve technical
challenges
1mo
Kalakumbh, May 23' - Jun 23'
Inspiration💡✨ From our experience with 🤖AI-powered shells, we found that while they mimic GUI interfaces, they often slow down workflows with cumbersome interactions📳—constantly opening, closing, and prompting for each command. We aimed to create a solution that preserves the terminal’s essential strengths—speed and power⚡—while remaining intuitive for 👤users at any level, from beginners to seasoned developers👨💻. Here’s what it offers 💪🏫📋 Smart Clipboard Integration 🖇️: The terminal monitors clipboard content and offers contextual commands. For example, if a Git repository URL⛓️ is copied, it suggests appropriate Git commands; if a package name is detected, installation⬇️ commands are provided. Natural Language 🗣️: Users can type commands in plain English, and it translates🈳 them into executable terminal commands. Enhanced Autocompletion ✍️: Despite limitations in some terminal environments (e.g., PowerShell), it provides advanced auto-completion. System-Aware Intelligence 🖥️: It has built-in awareness🙋♀️ of the user's current system and OS. Better Troubleshoot 🛠️: When a command fails❌ or triggers an error, it suggests potential fixes or alternative commands🔄. Model Integration 🤖: Uses both Gemini🤖 and OpenAI👾 APIs for smart command handling and suggestions. Emoji Feedback 🎉: Shows emojis when command generation fails to make errors more user-friendly and noticeable🤗. Command Explanation 🧾: Not only does it suggest commands, but it can also explain👨🏫 what each command does when you ask, so users can learn as they go🎓. How we built it ❓🧠 We used TypeScript as our codebase. The runtime is powered by Bun for fast execution🚀, with the Gemini and OpenAI APIs integrated for natural language processing🗣️.