The official student-led AWS cloud computing community at SRM Institute of Science and Technology, Kattankulathur.
We build on AWS, AI, data engineering, and modern software — together, from zero.
AWS SBG at SRMIST is a center of excellence for cloud computing, combining hands-on practice, industry alignment, and community engagement to prepare students for modern cloud-driven careers. Founded in 2025, open to every department and every year — no prior experience required.
We run workshops, hackathons, and meetups year-round, and ship real projects across three domains:
- Technical — Software Development · AI & Machine Learning · Cloud & DevOps
- Corporate — Events & Operations · Sponsorship & Finance · HR & Admin · PR & Marketing
- Creatives — Digital Design · Media Production
| Repository | What it is |
|---|---|
| Official-Website | Our public site — home, projects, team, achievements, events, and an AI chatbot for visitor questions. |
| Internal-Dashboard | Internal ops for members — tasks, ratings, leaderboard, analytics, all in one place. |
| Recruitment-Portal | Where new members apply — a short form plus a chat with Nova, our AI recruitment chatbot. |
Built by our members — hackathon entries, open-source tools, and independent builds:
| Repository | What it is | Language | License |
|---|---|---|---|
| hiree | Parses a candidate's resume, verifies claimed skills against real GitHub and LeetCode signals, and scores fit against a job description. | TypeScript | MIT |
| Sentrix | Lightweight, cross-platform heuristic malware triage scanner for Linux, Windows, and macOS — no signatures, no cloud, just fast local checks. | Rust | MIT |
| reqly | Open-source API observability SDK for FastAPI and Flask. | Python | GPL-3.0 |
| aegis-shell | An intelligent terminal companion that streamlines development workflow by automatically managing tools and dependencies. | Python | GPL-3.0 |
| SPARK-Engine | Speech Powered Analytics Relational Kit — a voice-enabled data analytics companion. | TypeScript | GPL-3.0 |
| HydroSense | An AI-based smart water management system using IoT to monitor usage and detect leaks. | JavaScript | MIT |
Applications open a few times a year — check awssbg-srmist.in or our WhatsApp community for the next cycle. Open to every department, every year, no prior experience required.
Made with ❤️ by Tech Team of AWS SBG at SRMIST
