Why Innovation Challenges Matter for Startups

Innovation Challenges are a powerhouse for startups, enabling rapid innovation and hands-on experience with cutting-edge technology. They offer a unique environment where ideas quickly turn into prototypes, solving real-world challenges. Startups gain valuable exposure, build critical networks, and access potential funding opportunities.

Additionally, Innovation Challenges foster teamwork and continuous learning, driving growth and enhancing problem-solving capabilities. It’s a dynamic space for startups to act swiftly, think creatively, and make a lasting impact on the industry. 🚀

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Benefits of Participation

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01

Participants with promising solutions will have the chance to pitch in front of iTNT Hub’s leadership network and gain visibility within the tech and innovation ecosystem.


02

Access mentorship and learning sessions from leading experts, guiding you through to the Demo Day, where you can showcase your project.


03

Benefit from incubation support at iTNT to help you develop and scale your innovative product or solution.


04

Seize the opportunity to create a positive societal and environmental impact through your innovative contributions.

How We Do It: The Power of Collaboration

At iTNT Innovation Challenges, we unite diverse talents to form dynamic, cross-disciplinary teams. We provide a supportive environment with access to mentors, tools, and a community that fosters exploration and innovation. Through workshops and hands-on labs, participants continually learn and are empowered to tackle challenges head-on.

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What We Do: Innovate with cutting-edge technologies

The iTNT Innovation Challenges empowers participants to solve real-world problems using cutting-edge technologies. You'll tackle diverse challenges and rapidly prototype innovative solutions that shape the future.

Why we Do : Aiming for a Better Tomorrow

Our mission is to drive impactful change through sustainable innovation, empowering communities, and shaping the future by providing a platform for leaders and innovators.

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Challenge Sector

Climate Tech

Sustainability

Energy generation

Health care

Smart manufacturing

Fintech

Eligibility Criteria

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01

The Challenge is open to all Tamil Nadu DPIIT-registered startups and professors from various institutions (“Subject Matter Experts”).


02

Preference would be given to innovative ideas for which patent has already been filed or can be filed in the future.

Innovation Challenges Timeline

Three stages of Innovation Challenges Flow

Stage - 1
Stage - 2
Stage - 3

Idea Pitch


Objective

Evaluate the creativity, feasibility, and impact of the proposed ideas

Process

  1. Submission: Participants submit a brief pitch of their idea,including:
    • Problem statement they are addressing.
    • Proposed solution overview.
    • Potential impact and benefits.
    • Basic implementation plan.
  2. Evaluation Criteria:
    • Innovation (25%): How unique and creative is the idea?
    • Relevance (25%): How well does the idea address the specified problem statement?
    • Feasibility (25%): Is the proposed solution technically and practically achievable?
    • Impact (25%): What is the potential impact of the solution on the manufacturing domain?
  3. Outcomes:
    • Selected teams proceed to the second stage based on their pitch evaluation scores.

Come innovate with us. Let's create a smarter, more connected world.🚀

iTNT Innovation Challenges Topics

Advanced Personalized Healthcare Using AI and IoT

Problem Statement: Create an AI and IoT-based public health system that can analyze large-scale health data to identify trends, predict outbreaks, and personalize public health interventions.

Objective: Enhance public health response by integrating data from various sources, using AI for predictive modeling, and providing tailored health recommendations and interventions.

AI and IOT

Smart Manufacturing with AI-Driven Predictive Maintenance

Problem Statement: Develop an AI and IoT-enabled smart manufacturing system that optimizes production processes and implements predictive maintenance for industrial equipment

Objective: Increase operational efficiency, reduce downtime, and extend the lifespan of machinery by using AI to predict failures and schedule maintenance proactively.

AI and IOT

AI and IoT for Real-Time Data Analysis and Decision Making

Problem Statement: Develop a system that integrates AI and IoT to collect, analyze, and act on real-time data from various sources across industries

Objective: Enhance decision-making processes across multiple sectors by providing timely and actionable insights based on real-time data analysis

AI and IOT

Smart Home/Village/City Automation for Energy Efficiency

Problem Statement: Design a simple yet effective IoT-based system that enhances energy efficiency in homes/Village/City by automating appliance usage and monitoring energy consumption.

Objective: Create a user-friendly system that reduces energy waste and optimizes appliance usage based on real-time data

AI and IOT

Resource Consumption Reduction

Problem Statement: Excessive use of resources like water, energy, and raw materials leads to environmental degradation.

Solution: IoT sensors can monitor resource usage across operations (e.g., industrial processes, buildings). AI analyzes this data to identify areas of waste and suggests optimization strategies. This can lead to reduced water usage, lower energy consumption, and minimized material waste.

AI and IOT

Pollution Monitoring and Control

Problem Statement: Air and water pollution pose significant environmental and health risks.

Solution: IoT sensors can be deployed in factories, vehicles, and agricultural settings to monitor air and water quality in real-time. AI can analyze sensor data to identify pollution sources, predict emission trends, and trigger alerts for corrective actions.

AI and IOT

Sustainable Waste Management

Problem Statement: Inefficient waste management practices lead to overflowing landfills and environmental contamination.

Solution: IoT sensors can track waste levels in bins and compactors. AI can analyze data to predict waste generation, optimize collection routes, and suggest strategies for waste reduction, recycling, and composting.

AI and IOT

Supply Chain Transparency and Efficiency

Problem Statement: Lack of transparency in supply chains can lead to unethical sourcing practices and environmental damage (e.g., deforestation).

Solution: IoT sensors can be integrated throughout the supply chain (e.g., on raw materials, finished products). AI can analyze data to track product provenance, identify potential sustainability risks (e.g., labor abuses), and optimize logistics for reduced transportation emissions.

AI and IOT

Circular Economy Practices

Problem Statement: Linear "take-make-dispose" models contribute to resource depletion and waste generation.

Solution: AI can analyze product lifecycle data to identify opportunities for product design with repairability and recyclability in mind. Additionally, AI can optimize reverse logistics for efficient product return, refurbishment, and re-entry into the market.

AI and IOT

Join Us and Be a Part of the Future

Whether you are a seasoned tech wizard or a curious newbie, this is your chance to be a part of something big. Bring your passion, your ideas, and your energy. Together, we will redefine what's possible and create solutions that inspire.

Duration : 4 Weeks

Start Date : June 30, 2024

Location : Online platform

Application Closed
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Got queries ? Reach us out at

developer@tnthub.org