| S.NO | PROBLEM STATEMENT | TYPE |
|---|---|---|
| 1 | The excessive and indiscriminate use of pesticides causes soil degradation, water pollution, harm to beneficial insects, and health risks for humans and animals. Traditional spraying methods treat all plants equally, leading to unnecessary chemical use and environmental damage. Farmers often lack affordable, automated tools to monitor plant health and optimize pesticide use, making manual spraying time-consuming and error-prone. There is a need for intelligent systems that detect pests or diseases at the plant level and adjust pesticide application precisely, promoting sustainability and reducing ecological harm. | HW & SW |
| 2 | Small and marginal farmers often lack access to advanced precision agriculture technologies due to high costs and technical complexity. This limits their ability to monitor crop health, optimize resource usage, and improve yield. A low-cost, drone- and IoT-based service for crop monitoring and data analysis can bridge this gap by providing affordable, data-driven insights to enhance productivity and sustainability. | HW & SW |
| 3 | Urban residents often face limited space, time, and expertise to grow their own food, leading to dependency on store-bought produce and reduced food sustainability. The lack of knowledge and suitable setups for indoor cultivation further discourages urban farming. This creates a need for an efficient, user-friendly, and automated solution. A modular, AI-guided indoor hydroponic system can enable apartment dwellers to cultivate fresh produce conveniently within their living spaces. | SW |
| 4 | Small and medium-scale farmers often struggle with heavy, non-portable, and inefficient farm tools that limit productivity and increase labor dependency. The lack of modular, easy-to-carry, and crop-specific equipment hinders timely and precise farm operations. There is a need to design and develop lightweight, ergonomic, and efficient tool systems adaptable to various crop types. Developing 3D models of such tools can help visualize, optimize, and prototype practical solutions that enhance farming efficiency and reduce manual strain | HW & SW |
| S.NO | PROBLEM STATEMENT | TYPE |
|---|---|---|
| 5 | Urban areas face escalating air pollution and carbon emissions due to increasing reliance on fossil-fuel-based transportation, leading to adverse health and environmental impacts. So, there is an urgent need to develop an Innovative integrated green transport system combining electric vehicles, renewable-powered public transit, and IoT-driven congestion management to dramatically lower urban air pollution and carbon emissions. | HW & SW |
| 6 | The current waste management system suffers from inefficient and inaccurate sorting processes, leading to low recycling rates and increased landfill waste. Manual segregation is time-consuming, error-prone, and costly. To address this, smart bins equipped with computer vision and IoT connectivity can automate waste identification, enable real-time monitoring, and optimize logistics for sustainable waste management. | HW & SW |
| S.NO | PROBLEM STATEMENT | TYPE |
|---|---|---|
| 7 | Forest fires are one of the most devastating natural disasters, leading to the loss of wildlife, vegetation, and human property. Traditional fire detection methods rely on manual observation or satellite data, which often result in delayed responses and severe damage before firefighting teams can step-in, to detect those fire blasts or unusual heat events on trees in real time and immediately alert nearby authorities such as forest departments, fire stations, and disaster management centers | SW |
| 8 | Despite growing awareness, most individuals remain disengaged from climate change because its risks feel distant and abstract. This lack of personal connection reduces motivation for preparedness and action. There is a need for an engaging, immersive solution that makes climate threats tangible in people’s immediate surroundings. An AR application that visualizes projected climate impacts in the user’s local environment can drive awareness and proactive behavior. | HW & SW |
| 9 | During disasters, the lack of centralized and structured information severely delays search and rescue operations. Fragmented data from multiple sources prevents timely situational awareness and decision making. There is a need for an AI-driven system that can integrate, analyze, and transform chaotic disaster data into actionable intelligence to enhance response efficiency and save lives. | SW |
| 10 | In urban areas, heavy traffic congestion severely impedes the timely response of emergency vehicles during disasters, often resulting in avoidable loss of life and property. Traditional traffic systems lack real-time adaptability to prioritize emergency movement. There is a need for an intelligent, AI-driven solution that dynamically reroutes emergency vehicles and synchronizes traffic signals to ensure the fastest possible response timEs. | HW & SW |
| S.NO | PROBLEM STATEMENT | |
|---|---|---|
| 11 | Rural students often lack access to career guidance and exposure to diverse job opportunities, leading to limited aspirations and higher dropout rates. An AI-powered multilingual chatbot can bridge this gap by generating personalized career pathways based on user interests, local job markets, and skill gaps. It will use LLMs for conversation and to present visual infographics. This solution empowers students with clear, localized career options and actionable steps. | SW |
| 12 | In today’s digital landscape, distinguishing real from fake content has become increasingly difficult. Deepfake videos and AI-generated images are widely used to spread misinformation, manipulate public opinion, and disrupt democratic processes. Journalists face mounting pressure to verify viral content before publication, while courts struggle to determine the authenticity and admissibility of digital evidence. There is an urgent need for a GenAI-based solution that can analyze media across formats, detect manipulation, generate plain language credibility reports, and support legal and journalistic workflows with reliable authenticity assessments. | SW |
| 13 | Despite rapid advancements in digital and mixed reality technologies, human interaction with digital content remains largely visual and auditory, lacking the sense of touch and physical presence that real-world interactions provide. This disconnect limits immersion, usability, and emotional engagement in virtual environments. There is a need for an intelligent system that seamlessly merges touch, motion, and mixed reality to create lifelike, haptic, and tangible digital experiences — bridging the gap between the physical and digital worlds for more intuitive and meaningful human–technology interaction. | HW & SW |
| 14 | Generative AI systems are increasingly vulnerable to prompt injection and data poisoning attacks that manipulate model behavior, compromise data integrity, and leak sensitive information. Existing defense mechanisms are often reactive, fragmented, and unable to adapt to evolving attack patterns. There is a critical need to design an intelligent, proactive framework that can continuously detect, isolate, and prevent malicious inputs and poisoned training data—ensuring trust, reliability, and ethical alignment of AI-generated outputs. | SW |
| S.NO | PROBLEM STATEMENT | TYPE |
|---|---|---|
| 15 | Currently the people are facing problem with blood in emergency situations like during dengue fever that time platelets continuously going down if you are not tested on time by the time doctors are saying that need blood to save the life ,address the urgent need for blood during emergencies by connecting donors and receivers in real-time. The system allows users to view live blood requests, locate nearby blood banks, schedule donations, and participate in blood drives. With real-time availability updates and integrated communication channels, Minimizes delays and increases the efficiency of emergency responses, making it a life-saving digital solution.without internet also can access the blood bank locations. | SW |
| 16 | Many individuals, especially the elderly or those with physical limitations, struggle to perform basic daily tasks, leading to reduced independence and quality of life. There is a need for an intelligent, home-based robotic assistant that can be easily controlled through accessible interfaces to support daily living activities. | HW & SW |
| 17 | A growing number of senior citizens live independently as their families reside elsewhere, leaving them vulnerable to health risks from noncommunicable diseases like diabetes and hypertension. Traditional healthcare systems fail to provide continuous monitoring and timely intervention. There is a critical need for an intelligent, real-time online healthcare system that remotely tracks vital health parameters, predicts health anomalies, and connects seniors instantly to caregivers or medical professionals for proactive support. | SW |
| S.NO | PROBLEM STATEMENT | TYPE |
|---|---|---|
| 18 | Rumination is a key indicator of animal health and directly affects milk yield. Farmers often struggle to monitor the rumination of cows and buffaloes, relying on manual observation that is time-consuming and unreliable, especially for large herds. Small and marginal farmers lack access to affordable monitoring tools, leading to delayed detection of health issues, late treatment, and financial losses. There is a pressing need for a cost-effective, real-time rumination monitoring system to help farmers track animal health, identify abnormalities early, and take timely action to enhance productivity and profitability. | SW |
| 19 | Currently, there is no automated and intelligent system capable of continuously monitoring and analyzing sound levels in real time during public gatherings, festivals, or DJ events. As a result, noise levels often exceed permissible limits, leading to frequent violations, public disturbance, and potential health risks such as stress and hearing problems. There is a need of a system which provides real-time detection and alert mechanisms prevents timely action and effective enforcement of noise control regulations. | HW & SW |
| 20 | Large venues often struggle with inefficient operations and safety risks due to the lack of real-time data and predictive insights. Implementing an IoT network integrated with AI-driven analytics can enable continuous monitoring, optimize crowd and resource management, and enhance overall venue safety and efficiency. | HW & SW |
| 21 | Urban infrastructures—such as buildings, transport networks, and utility systems—face continuous wear, stress, and environmental impact, often leading to failures that are detected too late. Current monitoring solutions depend heavily on cloud connectivity, making them unreliable in remote or disrupted areas. There is a pressing need for a self-learning, decentralized infrastructure monitoring system that can autonomously assess structural health, detect anomalies, and predict failures in real time, even in offline or low-connectivity environments. Such a system would enhance safety, reduce maintenance costs, and ensure the resilience of smart cities. | HW & SW |
| 22 | Despite advancements in generation and transmission, India’s power distribution network continues to suffer significant energy losses due to theft, faulty equipment, and inefficiencies in the grid. The absence of real-time visibility and predictive insights limits the ability of utilities to detect anomalies and prevent losses proactively. An IoT- and AI-driven intelligent monitoring system can be developed to detect, localize, and minimize power theft and inefficiency through continuous data analysis, anomaly detection, and predictive maintenance. | HW & SW |
| 23 | Unplanned failures of critical machines like transformers, DG sets, motors, and pumps cause costly downtime and safety risks in industries. Traditional maintenance methods often fail to predict these failures in time. By using AI and ML algorithms on real-time sensor and historical data, potential faults can be detected early. This enables predictive maintenance that schedules timely repairs, reduces unplanned outages, and improves equipment reliability and efficiency. | HW & SW |
| 24 | With the rapid expansion of IoT devices across critical sectors, ensuring secure communication between them has become a major challenge. Existing systems often lack robust identity management and encryption mechanisms, making them vulnerable to data interception and spoofing attacks. Design a Secure IoT Communication Framework that integrates Public Key Infrastructure (PKI) and data-in-transit encryption to guarantee device authenticity, data confidentiality, and integrity across distributed IoT networks. | HW & SW |
| 25 | With the rapid expansion of IoT devices across critical sectors, ensuring secure communication between them has become a major challenge. Existing systems often lack robust identity management and encryption mechanisms, making them vulnerable to data interception and spoofing attacks. Design a Secure IoT Communication Framework that integrates Public Key Infrastructure (PKI) and data-in-transit encryption to guarantee device authenticity, data confidentiality, and integrity across distributed IoT networks. | HW & SW |
| S.NO | PROBLEM STATEMENT | TYPE |
|---|---|---|
| 26 | Extreme weather events and shifting climate patterns significantly impact the reliability and consistency of renewable energy production. Current energy systems lack the capability to accurately predict long-term fluctuations in energy availability caused by climate variability, leading to challenges in grid stability and energy planning. There is a critical need for intelligent systems that can integrate historical climate data and real-time weather patterns to forecast renewable energy generation and support adaptive grid management strategies. | SW |
| 27 | Now a days household waste can be used to produce renewable energy, there are not enough simple and effective methods to do this safely and efficiently. We need better technologies to turn waste into energy and make waste management more sustainable at home. | HW & SW |
| 28 | Many residents in multi-family dwellings struggle to adopt renewable energy due to limited rooftop space, ownership constraints, and installation challenges. This limits their ability to contribute to sustainable energy generation and lower electricity costs. A modular, balcony-installable system combining solar and wind power is proposed to overcome these barriers. The system includes a smart tracking and monitoring app to optimize energy output and usability. | HW & SW |
| 29 | Rising global energy consumption is largely driven by inefficient human behavior across homes, workplaces, and vehicles. Traditional energy management systems fail to adapt dynamically to user habits, leading to significant and continuous energy waste. There is a need for an intelligent, adaptive system that learns individual and collective behavioral patterns, predicts energy needs, and autonomously optimizes consumption across different environments to promote sustainability and cost efficiency. | HW & SW |
| S.NO | PROBLEM STATEMENT | TYPE |
|---|---|---|
| 30 | Ponds, Lakes, Rivers are often polluted by floating debris such as plastic, water Hyacinth, algae build-up ect. Manual cleaning is difficult, unsafe and inefficient. Thus there is a need for an autonomous Underwater Robot capable of detecting and collecting waste materials and improving water quality thus ultimately increases the oxygen levels for acquatic animals. | HW & SW |
| 31 | Any person in distress or in an emergency help should communicate to central control unit for the activation of drone which tracks the location of distress person's location and identifies the problems such as road blockage due to land slides, suffering due to heart attacking, and life threat situation using high quality camera even in the dark conditions and sends the signal to control unit to take nesessary action. | HW & SW |
| 32 | Lonely elder people cannot go for buying for groceries, medicine from shops and vegetables from nearby market places. A robot with navigtion ability to identify the shop location and purchases the required items based on the ist of items specified. The billed amount and UPI details have to send to owner to pay the amount and have to come back safely climbing steps if necessary. | HW & SW |
| 33 | Manual sorting and packing in warehouses are time-consuming, labor-intensive, and prone to errors, leading to high operational costs and reduced efficiency. There is a need for an intelligent, collaborative robotic system capable of performing flexible, automated sorting and packing to improve productivity and cost effectiveness. | HW & SW |
| 34 | Traditional drone frames are often bulky and non-modular, leading to reduced flight time, limited payload capacity, and increased maintenance complexity. There is a critical need to design a lightweight, modular drone frame that enhances endurance, flexibility, and structural integrity. The proposed solution aims to develop a 3D-modeled frame using optimized materials and geometry, supported by relevant load and stress analysis to ensure stability and reliability during flight operations. | SW |
| S.NO | PROBLEM STATEMENT | TYPE |
|---|---|---|
| 35 | In modern education, students often find it difficult to understand complex technical concepts by reading lengthy text documents such as textbooks, lecture notes, or PDF chapters. Traditional teaching materials lack visual engagement, which limits comprehension and retention.This will enable students to learn interactively and help educators save time in preparing visual lecture materials. | SW |
| 36 | In academic institutions, students regularly submit project reports, and written assignments correcting manually is a time-consuming, inconsistent, and error-prone process for instructors. The grading often depends on subjective judgment, leading to variations in marks and delays in feedback. To address this problem develop a solution to analyze the content of a student’s report (in PDF or DOCX format), compare it with the expected structure, keywords, and concept accuracy from the reference document or rubric, and automatically assign marks based on predefined criteria. | SW |
| 37 | In today’s rapidly evolving job market, professionals struggle to identify which skills are most valuable and relevant to their career growth. The lack of clear guidance and structured upskilling plans often leads to wasted effort and missed opportunities. There is a need for an intelligent system that analyzes market trends and personal competencies to recommend tailored learning paths. An AI-driven platform can bridge this gap by generating personalized career roadmaps aligned with industry demand. | SW |
| 38 | The lack of engaging, hands-on tools for learning STEM concepts limits students’ ability to connect theory with real-world applications. Traditional methods often fail to spark curiosity or develop practical problem solving skills. There is a need for an interactive educational platform that integrates coding, IoT, and robotics to make STEM learning experiential, creative, and future-ready. | SW |
| 39 | Accessing reliable and up-to-date information about colleges and schools worldwide remains highly fragmented and inconsistent. Students struggle to compare institutions due to scattered data on admissions, scholarships, placements, faculty, and alumni outcomes. Existing platforms often lack verification and fail to stay current over time. There is a need for a globally validated, AI-driven information system that continuously aggregates, verifies, and updates comprehensive institutional data to support informed academic decisions. | SW |
| 40 | The rapid evolution of technology and industry trends is creating a widening gap between academic learning and emerging skill requirements. Many students remain unaware or unprepared for new career opportunities until it’s too late to adapt. There is a critical need for an intelligent platform that continuously maps emerging career trends, identifies required skills, and guides students proactively with personalized learning paths to stay industry-ready. | SW |
| 41 | Current financial literacy education often fails to engage learners emotionally or adapt to individual learning needs, leading to poor retention and real-world application of concepts. There is a need for an immersive, emotionally aware learning portal that uses adaptive storytelling, real-time feedback, and game-based mechanics to make financial education interactive, personalized, and impactful for diverse learners. | SW |
| S.NO | PROBLEM STATEMENT | TYPE |
|---|---|---|
| 42 | The logistics and delivery sector faces challenges from unpredictable traffic, weather changes, fluctuating demand, and limited driver availability, causing delays and higher costs. There is a growing need for an AI/ML-based real-time route optimization system that adapts dynamically to these factors. Such a solution can minimize inefficiencies, reduce fuel and operational costs, and ensure timely deliveries. Ultimately, it enhances fleet utilization, reliability, and customer satisfaction while promoting sustainable transportation operations. | SW |
| 43 | There is a growing need for a Vehicle-to-Vehicle (V2V) Collision Avoidance System that enables real-time communication between vehicles to share speed, position, and braking data. This system can predict and prevent potential collisions, enhance driver awareness, and improve overall road safety and traffic efficiency. | HW & SW |
| 44 | Sensitive goods such as pharmaceuticals, perishable goods and biologics are often exposed to temperature fluctuations during transit, leading to spoilage, financial loss, and compromised safety. The lack of reliable thermal protection and real-time monitoring in existing logistics systems increases the risk of total product loss. There is a need for a passive container with extended thermal stability and integrated IoT-based real-time temperature monitoring to ensure product integrity throughout the supply chain | HW & SW |
| S.NO | PROBLEM STATEMENT |
|---|---|
| 45 | This track encourages participants to propose innovative solutions beyond the listed problem statements, addressing real-world challenges with creativity and technology. |