IoT Technical Expo

Team Size:

Each team can have up to 4 members (max 4).

IoT Prototype:

• The prototype can be a physical model or a virtual simulation of IoT technology, such as sensors, communication modules, or cloud integration.

Presentation:

• Participants are required to explain their IoT demo.
• Participants are expected to submit an abstract of 1 page by October 31st.
• The demo must be presented with a PowerPoint (PPT) of a maximum of 8 slides.
• The presentation time is 5 to 7 minutes.

Prizes:

The top 3 best-performing teams will be awarded cash prizes.

Organizers:

• Kanishka Devi (CSE B)
• Keerthi R (CSE B)
• Loga Priya M (CSE B)
• Megha R (CSE B)
• Madhan Raj (CSE B)
• Maharishi (CSE B)

For Registration:

Register here

Innovation Sprout

1. Maximum number of participants in a team is 3.
2. The topics of the idea can be chosen by your own. It is advisable that the presentation focuses on a technical topic (e.g., AI, ML, Blockchain, Cloud Computing, IoT, Web Development, etc.).
3. Abstract should not exceed more than 250 words and slides should not exceed more than 10.
4. Kindly bring your PowerPoint presentation as a hard copy.
5. The presentation must include a prototype/poster.
6. Kindly mail your abstract, paper, and PPT to subashree.0731@gmail.com.
7. The teams will get 7 minutes for presentation followed by a question and answer session.
8. The mail with submissions should contain: Title - theme of the paper & Phone number of any one of the team members.
9. The first slide of the PPT should contain the title of the presentation followed by team members' names along with their email IDs.
10. The abstract mail should contain the abstract, references, your email ID, and mobile number.
11. The decision of juries will be final and no arguments or appeals will be entertained.

Project Expo

Organizers:

1. Geetharanjani S.
2. Hari Vignesh S.
3. Mithun K.
4. Rajaganapathi S.
5. Rajakumari P.
6. Sidharth K.

Description:

Track 01: User Interface (UI) Design

Domains:

1. Redesign the UI of Sona College website
2. Design a UI for Spark 24 and Threads 24
3. Redesign the UI of IT companies

Rules:

1. Participants must submit their projects under one of the three specified domains.
2. Teams can consist of up to 2 members.
3. All submissions must include wireframes, mockups, and a working prototype or demo.
4. Design software such as Figma, Adobe XD, Sketch, or similar tools can be used.
5. Projects must be original and not copied from any pre-existing designs or templates.
6. Each submission must be accompanied by a short write-up (500 words max) explaining the design choices and how they improve user experience.

Track 02: Game Development

No specific domains are set, but participants must present unique and creative concepts for their games. Any genre is allowed, and projects will be judged based on innovation, creativity, and execution.

Rules:

1. Teams can have up to 4 members.
2. Participants can develop any genre of game but must focus on a unique and creative concept.
3. Games can be developed using any platform, including Unity, Unreal Engine, Godot, or custom-built engines.
4. Games must be original and not clones of existing games.
5. Participants should submit a playable prototype along with the project.
6. Use of pre-built assets is allowed, but the primary game mechanics, storyline, and core gameplay must be original.
7. Each submission must be accompanied by a documentation file (500 words max) outlining the game's concept, mechanics, and development process.

Technical Expo

Organizers:

1. Nishapriya
2. Jafrin Nidha
3. Rithika
4. Madhu Mitha
5. Sanju Sree
6. Hema Shruthi

Description:

Task Name: Dashing Boards

Sources:

• Power BI
• Tableau

Rules:

1. Teams can consist of up to 3 members.
2. All submissions must have at least 8 charts consisting of a dashboard.
3. Design a dashboard for the given scenario with a suitable dataset and include relevant data visualizations and descriptions that best address the problem, which should be innovative and creative.
4. The dashboard must be original and not copied from any pre-existing designs or templates.
5. Each submission should be within the time limit and share your respective dashboard as a document in WhatsApp.
6. A creative and professional dashboard will be selected by the jury, and the selected participants must explain their own dashboard layout.

Prizes:

Cash prizes will be awarded to the top 3 selected teams based on their performance and creativity.

Machine Learning Expo

Team Size:

Each team can have up to 4 members (max 4).

Topics:

• Handwritten Digit Recognition:

  Implement a machine learning model to recognize handwritten digits (0-9) using image classification techniques.

• Cancer Prediction:

  Build a model to classify whether a tumor is malignant or benign based on medical data (features such as size, shape, etc.).

• Stock Price Prediction:

  Develop a model to predict future stock prices based on historical data.

• Sentiment Analysis Using Voting Ensemble:

  Create a sentiment analysis model that classifies customer reviews as positive or negative. By using ensemble methods, participants can combine the strengths of multiple models for more accurate sentiment classification.

• Air Quality Prediction with Bagging and Boosting:

  Create a regression model to predict air quality levels based on features like CO2 levels, temperature, and humidity. Ensemble methods such as bagging and boosting can help improve predictive accuracy for time-series data.

Task Overview:

Participants are required to choose one of the given topics and train a machine learning model that meets the following criteria:

• Dataset Requirements: The dataset used must be large and comprehensive with a sufficient number of features.
• Data Preprocessing: Participants must preprocess the dataset appropriately by handling missing data, scaling features, encoding categorical variables, and addressing class imbalances where applicable.
• High Accuracy: The model must demonstrate a high level of accuracy through proper tuning and validation.
• Live Testing: The model should be tested in a live environment to showcase its performance.
• Model Validation: Include additional metrics such as precision, recall, F1-score, and a confusion matrix to validate the model’s performance effectively.
• Generalization: Ensure the model generalizes well to unseen data by preventing overfitting and underfitting through techniques like cross-validation and regularization.

Submission Requirements:

• Abstract Submission: A one-page abstract must be submitted by October 31st, detailing the chosen topic, approach, expected outcomes, and algorithm used with justification.
• Presentation: The model must be presented through a PowerPoint (PPT) presentation of a maximum of 8 slides.
• Time Limit: The presentation should last between 5 to 7 minutes.

Awards:

The top 3 best-performing teams will be awarded cash prizes.

Organizers:

1. Sri Devi R
2. Dharshana
3. Thameena F
4. Karthik Sriram M
5. Rohith K

GEN AI Hackathon: Innovate Beyond Boundaries

Event Organizers:

• Shanmithaa S
• Pranitha M
• Abinaya G M
• Navin S
• Arun A M
• Girish M

Hackathon Rules & Guidelines:

• Eligibility: Open to all students and developers passionate about AI and technology. Teams may consist of 2-4 participants.
• App Development Requirements: Participants must use AI models to build a functional app with at least 4 core features. Generative AI models should play a central role in the solution.
• Submission Requirements: Teams should submit their code along with a 2-3 minute demo video explaining their app's functionality and AI integration.

Themes & Ideas:

1. Generative AI for Climate Change Awareness:

   Develop a platform where users receive AI-generated reports, visualizations, and predictions on climate change based on historical data, geographic location, and current events. The AI could also generate actionable suggestions for reducing an individual’s carbon footprint.

2. AI-Powered Educational Content Creation:

   Create a generative AI tool that helps educators by creating lesson plans, quizzes, and educational material automatically. Teachers can input the subject and grade level, and the AI generates personalized study materials, tailored to learning objectives.

3. AI in Art and Music Generation:

   Develop an AI platform where users can create unique artwork or music. By inputting parameters like theme, mood, or style, the AI generates paintings or musical compositions, offering both entertainment and creative exploration.

4. Sustainability Solutions with AI-Generated Design:

   Create an AI-driven solution that generates eco-friendly product designs, building architectures, or urban planning layouts based on sustainability principles. The AI could analyze environmental impacts and suggest the most energy-efficient designs.

5. AI-Generated Virtual Fitness Coach:

   Build a fitness app that creates personalized workout routines, diet plans, and motivational tips based on user preferences and progress. The generative AI could adapt routines dynamically based on real-time feedback from wearable devices.

6. AI for Personalized News Generation:

   Develop a news platform where the AI curates, summarizes, and generates personalized news articles or newsletters based on user interests, ensuring users stay informed on topics that matter to them without being overwhelmed by information.

7. AI-Enhanced Urban Safety Systems:

   Design a safety application that uses generative AI to predict and visualize safe routes, based on crime statistics and real-time updates. The AI could also generate emergency alerts and safety tips for specific locations.

8. AI-Generated Virtual Reality Environments:

   Create a generative AI app that builds immersive virtual environments for VR experiences. Whether for gaming, training, or education, the AI could generate unique, user-specific worlds and interactive experiences in real-time.

9. AI-Powered Storytelling for Interactive Fiction:

   Build a platform that uses generative AI to co-create stories with users. Users can set the plot or character prompts, and the AI generates evolving narratives, allowing for endless variations and dynamic storytelling.

10. AI in Fashion and Design:

    Develop an app where users input their style preferences, and the AI generates clothing designs, accessories, or fashion trends. The platform could also allow users to visualize how different styles would look on them through AI-generated fashion visuals.

11. AI for Legal Document Generation:

    Create an AI-driven legal assistant that generates contracts, legal summaries, or briefs. Users could provide minimal input, and the AI would generate drafts for legal documents, easing the workload for lawyers and legal professionals.

12. AI-Driven Virtual Shopping Assistant:

    Develop an AI that helps users shop by generating personalized product recommendations, outfits, or home decor ideas. The AI could also assist in generating budget-friendly shopping lists and even suggest sustainable alternatives.

13. Generative AI for Smart Home Customization:

    Create an AI tool that personalizes smart home setups, generating schedules for lighting, heating, and device usage based on user preferences and patterns. The AI could also suggest energy-saving configurations.

14. AI-Generated Language Learning Assistant:

    Design a language learning app that dynamically generates dialogues, exercises, and cultural insights to help users immerse themselves in a new language. The AI could personalize lessons based on progress and proficiency levels.

15. Deepfake Detection & Media Authenticity:

    Build an AI-driven tool that detects deepfakes in video or audio content. The system should analyze media for inconsistencies in facial expressions, voice patterns, or unnatural behaviors, flagging suspicious content in real-time. Additionally, the app could generate reports on the likelihood of manipulation and provide tips on identifying fake media, helping users discern between genuine and altered information. This would promote media authenticity and combat misinformation.

Evaluation Criteria:

• Innovation: How creatively is generative AI used?
• Functionality: Is the app fully functional and solves a real-world problem?
• AI Integration: How effectively does the app leverage AI models?
• Impact: Does the solution provide meaningful value to users?
• Presentation: How well is the app demonstrated during the presentation?

Quiz to Quirk

ORGANIZER’S

• Akshaya S.D.K
• Dharsini S
• Hinduja E
• Dinesh P
• Hari Krishnan J
• Hari Arjun M

Description

"Our event is all about showcasing websites or web apps that your team has built using tools like HTML for structure, CSS for design, and JavaScript (React.js) for interactive elements. In the first round, you'll attend a quiz, and in the final round, we’ll ask you to make some modifications based on your project. It’s a great opportunity to show your skills and improve your project!"

Round 1: HTML and CSS Quiz (MCQ)

• Team Composition: Each team can have a maximum of 3 members.
• Requirements: At least one person from the team must have a laptop to project your project.
• Question Format: There will be 25 multiple choice questions and 5 viva covering HTML, CSS, and JS (React.js) concepts.
• Selection Criteria: Teams with the highest scores will qualify for the second round.

Round 2: Refine Your Web, Claim the Crown!

• Challenge: Teams will be given some modifications on their website, and they will be asked to satisfy the modifications using HTML, CSS, and JavaScript (React.js).
• Time Limit: Teams will have 60 minutes to complete the web page.
• Evaluation Criteria:
  • Responsiveness: The webpage must be fully responsive on all screen sizes.
  • Designs and Layout: Visual appeal, colour scheme, and structure will be evaluated.
  • Originality: The page should be designed from scratch. Plagiarism will be checked.
• Presentation: After completion, teams will briefly present their work, explaining the thought process behind their design.
• Results: The decision of juries will be final, and no arguments or appeals will be entertained.