Freelancers using Firebase in RawalpindiFreelancers using Firebase in Rawalpindi
ProjectsPeople
Hamza Imran's avatar
Hamza Imran
proIslamabad, Pakistan
Quality-focused Flutter Engineer
$1k+
Earned
1x
Hired
26
Followers
Quality-focused Flutter Engineer
Cover image for Paylock - Media Selling
Paylock - Media Selling
0
51
Cover image for Babulwali - Mariage App
Babulwali - Mariage App
0
93
Cover image for Chance - Social Media App
Chance - Social Media App
1
55
Cover image for FutureNote App Development
FutureNote App Development
1
3
Firebase(3)
Muhammad Haseeb Shaukat's avatar
Muhammad Haseeb Shaukat
Rawalpindi, Pakistan
Graphic Designer & Fullstack Developer | 5+ Years
Graphic Designer & Fullstack Developer | 5+ Years
Cover image for IWA App
IWA App
0
0
Cover image for LEIS App
LEIS App
0
0
Cover image for Nohara App
Nohara App
0
2
Cover image for Pocket Guardian
Pocket Guardian
0
1
Firebase(19)
Haris Rana's avatar
Haris Rana
Rawalpindi, Pakistan
A dedicated and passionate Flutter Application Developer
A dedicated and passionate Flutter Application Developer
Cover image for RSS Feed – Global News at Your Fingertips
RSS Feed – Global News at Your Fingertips
0
4
Cover image for PMD KISSAN APP
PMD KISSAN APP
0
2
Cover image for Chat Application
Chat Application
0
1
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Firebase(3)
Abdullah Qureshi 's avatar
Abdullah Qureshi
Islamabad, Pakistan
Product/UX Designer | React Native Developer
5.0
Rating
FRAMER_EXPERT

expert

Product/UX Designer | React Native Developer
Cover image for AI Conversational Bot - Podcast
AI Conversational Bot - Podcast
0
7
Cover image for Dreamlamp - App🏫
Dreamlamp - App🏫
0
58
Cover image for Mutable AI's Landing - Redesigned 🔮
Mutable AI's Landing - Redesigned 🔮
0
44
Cover image for CINIMAX - UX Case Study 📽
CINIMAX - UX Case Study 📽
0
43
Firebase(1)
Arham Malik's avatar
Arham Malik
Rawalpindi, Pakistan
Backend & AI engineer who ships systems fast and scale.
New to Contra
Backend & AI engineer who ships systems fast and scale.
Cover image for This is a native Android
This is a native Android app I built with Kotlin and Firebase. It connects tourists with verified local guides in real time. You open the app, see nearby guides, book a tour, and then you can track each other’s location live using Google Maps. I also added offline support because travel doesn’t always have perfect internet. Over 100 active users ended up using it,during the MVP. The best part? Battery usage was optimized so your phone doesn’t die halfway through the day. Really proud of how smooth it turned out. For more details, please visit: https://arham-nexus.vercel.app/work/raaheraast
0
39
Cover image for This is a classic enterprise
This is a classic enterprise academic portal, but built solid. It uses  Web Forms, ASP.NET, C#, and SQL Server. The main challenge was role based access control because you have admins, faculty, TAs, and lab demonstrators all needing different permissions. I designed a three tier architecture with stored procedures and optimistic concurrency control so data doesn’t get messed up when people edit at the same time. Over 200 users per semester use it for task assignments and progress tracking. It’s not flashy, but it works perfectly. For more details, please visit: https://arham-nexus.vercel.app/work/talabportal
0
21
Cover image for Skill Swap is a peer
Skill Swap is a peer to peer learning platform where you can be both a student and a teacher. I built the backend with Java Spring Boot, real time chat with WebSockets, and video calls with WebRTC. The matching algorithm finds people based on skills, ratings, and availability. You can switch roles anytime. It also has a trust based review system so fake reviews don’t ruin it. This was an MVP, but it proved that real time learning communities can work really well. For more details, please visit: https://arham-nexus.vercel.app/work/skillswap
0
34
Cover image for Yeah, this one is a
Yeah, this one is a bit out there, but it was super fun. I built an AI that actually understands memes. It looks at the image and the text together using PyTorch, TensorFlow, and GPT 4. I used early and late fusion techniques to combine vision and language, plus Tesseract OCR to grab text from the image itself. The model hits over 95% accuracy on meme classification. It’s not your typical corporate project, but it shows how multimodal AI can understand humor, culture, and context. Definitely one of my favorite experiments. For more details, please visit: https://arham-nexus.vercel.app/work/memechecker
0
43
Firebase(1)