Student Tip
Answer each question honestly to get an accurate complexity score. This helps you choose the right project level for your skills!
📊 Complexity Score Calculator
Answer each section. Your score will update live.
Your Complexity Score
Production-ready, enterprise features
💡 Use this score when approaching your mentor for SRS approval.
📌 Recommended Level: Advanced
This project is Capstone-ready
📌 Sample: “Smart Document Summarizer”
Parameters
- ✅ 5 Features → +60
- ✅ 10+ Technologies → +60
- ✅ Architecture → +15
- ✅ API Reference → +15
- ✅ Deployment → +15
- ✅ 450 words → +25
✅ Capstone-ready — mentor will approve SRS.
📂 Project Ideation Hub
346 projects · avg 239 pts👨🏫 Mentor SRS Approval Guide
Use this structured approach when you meet your mentor.
Step 1
Present your project idea
“Mentor, I’m proposing a [Project Name] — a [brief description].”
Step 2
Show your Complexity Score
“I used the Complexity Explorer and scored X/250, which is [Level].”
Step 3
Justify your score
Break down: features, tech stack, architecture, API, deployment, documentation.
Step 4
State your readiness
“I’m confident this is capstone-ready and aligns with my academic goals.”
Step 5
Request SRS guidance
“Could you review this and guide me on developing a comprehensive SRS?”
📋 Mentor Review Checklist
- ⬜ Project Novelty — Unique / Innovative
- ⬜ Complexity Level — Appropriate for student
- ⬜ Feasibility — Technically achievable
- ⬜ Resources — Within available scope
- ⬜ Learning Objectives — Meets educational goals
- ⬜ SRS Documentation — Complete & professional
🧭 Quick Reference
- 🏆 Flagship 250
Thesis / research ready - ⭐ Advanced 200-249
Capstone ready - 📈 Intermediate 150-199
Major project - 📚 Foundation 100-149
Semester project
“The quality of your capstone isn’t determined by the idea alone — it’s how well you architect, document, and deploy it.”
💡 Tip: Always connect your project to one of the 10 domains.
📚 Prerequisites & Tech Stack Guide
Recommended knowledge and technologies for each project level based on our 70+ technology stack.
| Domain | 📚 Foundation | 📈 Intermediate | ⭐ Advanced | 🏆 Flagship |
|---|---|---|---|---|
| Programming | Python Basics | Python + 1 more | 3+ languages (Python, Rust, Go) | Full Stack + Systems |
| AI/ML Frameworks | Basic ML concepts | PyTorch/TensorFlow | LangChain, LlamaIndex, vLLM | Production serving + Optimization |
| Databases | SQL Basics | PostgreSQL, Redis | Vector DBs (Qdrant, Milvus) | Graph DBs (Neo4j) + Distributed |
| DevOps | Local Execution | Docker | Kubernetes, Helm | Cloud Native + eBPF |
| Web Technologies | HTML/CSS basics | FastAPI/Flask, React | Next.js, WebSockets, WebRTC | Full Stack + Realtime |
| Security | Basic Auth | JWT, OAuth | Semantic firewalls, NLI | Zero-Trust, eBPF, SIEM |
| Edge/Embedded | Basic concepts | C++ basics | ONNX, TensorRT | ESP32, RISC-V, ARM |
🛠️ Recommended Tech Stack by Level
- • Python, Jupyter
- • SQLite / MySQL
- • Flask / Streamlit
- • Basic HTML/CSS
- • Git basics
- • Python / Go
- • FastAPI / Django
- • PostgreSQL / Redis
- • Docker / React
- • PyTorch basics
- • Python / Rust / Go
- • Neo4j / Qdrant / Milvus
- • Kubernetes / Kafka
- • PyTorch / LangChain / vLLM
- • Playwright / Selenium
- • Full Stack + Cloud Native
- • Distributed Systems
- • Advanced AI/ML serving
- • Security / eBPF / mTLS
- • Edge compilers (ONNX, TensorRT)
📋 Tech Stack Reference
Technologies available in our repository categorized by domain:
Languages
- • Python
- • TypeScript
- • Rust
- • Go
- • JavaScript
- • C++
AI/ML
- • PyTorch
- • Hugging Face
- • LangChain
- • LlamaIndex
- • vLLM
- • Ollama
- • Transformers
Databases
- • PostgreSQL
- • Redis
- • Neo4j
- • Qdrant
- • Milvus
- • PGVector
- • MongoDB
DevOps
- • Docker
- • Kubernetes
- • Helm
- • GitHub Actions
- • Prometheus
- • ArgoCD
Web & Browser
- • FastAPI
- • Flask
- • React
- • Next.js
- • Playwright
- • Selenium
- • WebRTC
Edge & Embedded
- • C++
- • ONNX
- • TensorRT
- • ESP32
- • RISC-V
- • ARM
Security
- • NLI
- • SIEM
- • JWT
- • eBPF
- • mTLS
RAG & Search
- • LangChain
- • LlamaIndex
- • Qdrant
- • Milvus
- • PGVector
- • Elasticsearch
🎯 10 Technical Domains
Explore the 10 core research and project areas of the department.
AI-Agents
Autonomous multi-agent swarms
12% of projectsRAG Systems
Graph-RAG, hybrid search
11% of projectsKubernetes
GPU slicing, ML scheduling
10% of projectsDevOps
Self-healing pipelines
11% of projectsSecurity
Semantic firewalls
10% of projectsBrowser-Automation
VLM-driven automation
9% of projectsVoice-AI
Sub-100ms streaming
9% of projectsLocal-LLMs
Quantization, local inference
8% of projectsData-Engineering
CDC pipelines, lakehouses
12% of projectsEdge-AI
Bare-metal compilers
10% of projects🛠️ Technology Stack
All technologies used across 200+ projects in the repository
Languages 15
AI/ML Frameworks 20
Databases & Vector Stores 12
DevOps & Cloud 15
Web & Browser 10
Edge & Embedded 8
Security 6
💡 Pro Tip: Use the Project Explorer to see which technologies are used in each project, or use the Complexity Calculator to plan your tech stack.
📖 Resource Library
10 essential templates & guides with PDF & Word export from the resources folder
📌 How to Use These Resources
- • Download templates to structure your work
- • Use rubrics to self-evaluate progress
- • Follow guides for mentor meetings
- • Use evaluation forms for consistency
- • Share reference guides with students
- • Track progress with score sheets
- • All files in .md, .docx, .pdf formats
- • 45 resource files available
- • Ready to customize and reuse
🍅 Focus Timer
25 min work · 5 min break📋 Today's Tasks
Ideation Workspace
Draft your project idea, get technology suggestions, and generate UML diagrams.