Coding Projects
Find projects for almost all Programming Languages for free ! 🧑💻
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Coding Projects
تُعد قناة Coding Projects (@coding_projects) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 14 722 مشتركاً، محتلاً المرتبة 8 703 في فئة التكنولوجيات والتطبيقات والمرتبة 28 346 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 14 722 مشتركاً.
بحسب آخر البيانات بتاريخ 06 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -103، وفي آخر 24 ساعة بمقدار 0، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 0%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً N/A% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 0 مشاهدة. وخلال اليوم الأول يجمع عادةً 0 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 0.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Find projects for almost all Programming Languages for free ! 🧑💻”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 07 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
جاري تحميل البيانات...
| التاريخ | نمو المشتركين | الإشارات | القنوات | |
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| 01 يوليو | 0 |
| 2 | Python Notes By Yadnyesh!.pdf | 2 985 |
| 3 | Sometimes reality outpaces expectations in the most unexpected ways.
While global AI development seems increasingly fragmented, Sber just released Europe's largest open-source AI collection—full weights, code, and commercial rights included.
✅ No API paywalls.
✅ No usage restrictions.
✅ Just four complete model families ready to run in your private infrastructure, fine-tuned on your data, serving your specific needs.
What makes this release remarkable isn't merely the technical prowess, but the quiet confidence behind sharing it openly when others are building walls. Find out more in the article from the developers.
GigaChat Ultra Preview: 702B-parameter MoE model (36B active per token) with 128K context window. Trained from scratch, it outperforms DeepSeek V3.1 on specialized benchmarks while maintaining faster inference than previous flagships. Enterprise-ready with offline fine-tuning for secure environments.
GitHub | HuggingFace | GitVerse
GigaChat Lightning offers the opposite balance: compact yet powerful MoE architecture running on your laptop. It competes with Qwen3-4B in quality, matches the speed of Qwen3-1.7B, yet is significantly smarter and larger in parameter count.
Lightning holds its own against the best open-source models in its class, outperforms comparable models on different tasks, and delivers ultra-fast inference—making it ideal for scenarios where Ultra would be overkill and speed is critical. Plus, it features stable expert routing and a welcome bonus: 256K context support.
GitHub | Hugging Face | GitVerse
Kandinsky 5.0 brings a significant step forward in open generative models. The flagship Video Pro matches Veo 3 in visual quality and outperforms Wan 2.2-A14B, while Video Lite and Image Lite offer fast, lightweight alternatives for real-time use cases. The suite is powered by K-VAE 1.0, a high-efficiency open-source visual encoder that enables strong compression and serves as a solid base for training generative models. This stack balances performance, scalability, and practicality—whether you're building video pipelines or experimenting with multimodal generation.
GitHub | GitVerse | Hugging Face | Technical report
Audio gets its upgrade too: GigaAM-v3 delivers speech recognition model with 50% lower WER than Whisper-large-v3, trained on 700k hours of audio with punctuation/normalization for spontaneous speech.
GitHub | HuggingFace | GitVerse
Every model can be deployed on-premises, fine-tuned on your data, and used commercially. It's not just about catching up – it's about building sovereign AI infrastructure that belongs to everyone who needs it. | 1 596 |
| 4 | https://www.instagram.com/reel/DO-FYCqCK2B/ | 1 |
| 5 | https://codewithcurious.com/projects/snake-game-using-c-source-code/ | 3 230 |
| 6 | https://codewithcurious.com/projects/basic-logging-system-using-c/ | 3 231 |
| 7 | https://codewithcurious.com/projects/10-ecommerce-pages-using-html-css-js/ | 3 568 |
| 8 | https://codewithcurious.com/projects/10-responsive-navigation-menus-using-html-css-js/ | 3 214 |
| 9 | 15 LPA Job Offer - With AI Certification 💻
IIT Patna has launched its latest batch to help you kickstart a career in AI & ML
💰15 LPA job offer as a fresher
⏰ Learn AI & Ml from IIT Patna
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Need only serious candidates & Capable candidates required! So to apply have to pay Rs. 99/- The amount will be fully *refunded* once you attend the test.
Big Opportunity, Do join asap! 💯 | 3 546 |
| 10 | https://codewithcurious.com/projects/student-result-management-system/ | 3 173 |
| 11 | https://codewithcurious.com/projects/clinic-appointment-system/ | 3 006 |
| 12 | https://codewithcurious.com/projects/bus-booking-system-using-java/ | 3 054 |
| 13 | https://codewithcurious.com/projects/hostel-management-system-using-java/ | 2 887 |
| 14 | https://codewithcurious.com/projects/online-banking-system-using-java/ | 2 956 |
| 15 | https://codewithcurious.com/projects/job-portal-system-using-java/ | 2 849 |
| 16 | https://codewithcurious.com/projects/voting-machine-simulator-in-java/ | 3 577 |
| 17 | https://codewithcurious.com/projects/online-course-registration-system-java/ | 2 996 |
| 18 | https://codewithcurious.com/projects/ciphermaze-the-ultimate-code-cracking-quest-game-using-python/ | 3 438 |
| 19 | https://codewithcurious.com/projects/mathgenius-pro-ai-powered-math-solver-using-python/ | 3 287 |
| 20 | https://codewithcurious.com/projects/food-delivery-management-system/ | 3 781 |
