SYNTACS (SYmposium on Novel Technologies and Advances in Computer Science) is a one-day symposium organized by the Department of Computer Science & Engineering at IIT Ropar. This repository contains the source code for the symposium's official website.
The website is built using:
-
Clone the repository:
git clone https://github.com/encodedcoderIIT/syntacs2025.git cd SYNTACS-2025 -
Run the development server:
npm run dev # or yarn dev # or pnpm dev # or bun dev
src/
├── app/ # Next.js app router pages
│ ├── home/ # Home page
│ ├── program/ # Program schedule
│ ├── registration/ # Registration details
│ └── venue/ # Venue information
├── components/ # Reusable React components
└── styles/ # CSS modules and global styles
- Responsive design for mobile and desktop
- Dynamic image carousel
- Interactive navigation
- Program schedule with detailed timings
- Registration information with QR code
- Venue details with map integration
- Sponsor showcase
npm run dev- Start development server with Turbopacknpm run build- Build production bundlenpm run start- Start production servernpm run lint- Run ESLint for code quality
next.config.ts- Next.js configurationtailwind.config.ts- Tailwind CSS configurationtsconfig.json- TypeScript configurationpostcss.config.js- PostCSS configuration
- Date: 8th March 2025
- Venue: IIT Ropar, Punjab, India
- Target Audience: Research scholars, academicians, and industry professionals
- Contact: cse.events@iitrpr.ac.in
Copyright © 2025 Department of Computer Science & Engineering, IIT Ropar. All Rights Reserved.
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature)
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
- Keynote Talks
- Poster Presentations
- Industry Interactions
- Panel Discussion
- Online Algorithms for Clustering with Capacity Constraints
- Circuits, Proofs and Propositional Model Counting
- Multi armed bandit based client selection in federated learning
- Improving fairness in Human-AI
- Cooperative SGD with Dynamic Mixing Matrices
- Constrain Path Optimization on Time-Dependent Road Networks
- Defective graph Coloring
- Energy consumption optimization and clustering of drones
- Unleashing the Potential of Machine Learning and NLP Contextual Word Embedding for URL-Based Malicious Traffic Classification
- PhishURLDetect: A Parameter Efficient Fine-Tuning of LLMs Using LoRA for Detection of Phishing URLs
- Intelligent Traffic Flow Prediction & Management
- Energy efficient human recognition using wearable devices
- Machine Learning-Based Workload Prediction in Vehicular Platooning Systems
- MIP-GAF: A MLLM-annotated Benchmark For Most Important Person Localization And Group Context Understanding
- SSGAN: Cloud removal in satellite images using spatiospectral generative adversarial network
- Wavelet-Based Feature Compression for Improved Knowledge Distillation
- Towards Digital twin of A plant
- Class-wise Feature Map Selection Based Prototypical Networks
- PA-RDFKNet: Unifying Plant Age Estimation through RGB-Depth Fusion and Knowledge Distillation
- ASTAnet: Transformer-based Siamese Network for Robust Audio-to-Audio Alignment in Amateur User Generated Audio Clips
- Turmeric adulteration
- DREAMS: Diverse Reactions of Engagement and Attention Mind States Dataset
- ClipSwap: Towards High Fidelity FaceSwapping via Attributes and CLIP-Informed Loss
- Audio Deepfake Detection
- Agricultural Chatbot: Improving Context-Specific Query Resolution with LLMs, RASA, and RAG Systems
- Stress Detection in Sugarcane Farms Using Satellite Imagery
- Federated Learning for Source Camera Model Identification: A Privacy-Preserving Approach
- Deepfake Detection
- Class incremental Learning in Source Camera model Identification
- Characterizing Continual Learning Scenarios and Strategies for Audio Analysis
- AppleV: A dataset for Apple fruit Volume Estimation
- RRR: Rethinking Randomized Remapping for High Performance and Secured NVM LLC
- Eliminating Page Migration Overhead in Heterogeneous Memory Architecture
- Memory Design for Graph processing
- RISC-V Based Secure Processor Architecture for Return Address Protection
- HTree: Hardware Trojan Attack on Cache Resizing Policies
- Efficient Write Traffic reduction to flash memory using SSDs DRAM cache
- Low Power High SFDR DDFS for Quantum Processor
- Performance Analysis of LLM Inference on Edge Accelerators
- EM Trigger Defender Glove
- Digital Twins in Marine Industry
- Multiple drone projects
- Radish Growth Web App
- Video Mashup
Take part in the following exciting demos at IIT Ropar, from defence tech to digital twins:
- EM Trigger Defender Glove
- Multiple drone projects
- Digital Twins in Marine Industry
- Video Mashup
- Radish Growth Web App
- Towards Digital twin of A plant
- Agricultural Chatbot: Improving Context-Specific Query Resolution with LLMs, RASA, and RAG Systems
- Turmeric adulteration