Climate change is rapidly increasing urban temperatures. Urban heat island is an effect that is created when urban areas are significantly warmer than surrounding rural areas due to cities replacing natural landscapes with heat-absorbing surfaces like concrete, asphalt, waste heat generated by vehicles and industries.

One of the most important aspects for cooling cities, filtering air, and storing carbon is the presence of trees. However, thousands of them die every year from heat stress, disease and neglect.  

Since most cities lack the resources to effectively monitor and protect their existing green cover, ReLeaf AI aims to reverse this by creating systems to monitor the green and utilising AI to prevent such significant losses.

Gaps in the current market:-

1. Urban tree health monitoring is still manual and consumes a lot of time.
2. Most initiatives aim to “plant” more trees instead of maintaining and nurturing already existing ones.
3. There aren’t AI tools widely available that predict tree stress or suggest any changes to prevent damage.
4. Most cities lack data-driven decision systems for managing the greenery and fighting heat zones.

How ReLeaf AI solves the problem:

It combines artificial intelligence, IoT(devices that detect and respond to environmental stimuli) and remote sensing to protect and help maintain urban tree life before they reach critical stress levels.

1. AI Image Analysis: Using drones and satellite imaging, the AI models process the image to detect slight changes in leaf colour, shape or any early indicators of dehydration or disease.
2. IoT Environmental Sensors: Soil moisture and temperature sensors continuously send real-time data to monitor the conditions.
3. Predictive Machine Learning Models: Based on the data, pollution levels and previous incidents, these models predict which of the trees are most at risk.
4. Smart Alerts: The system notifies the people at the levels to suggest specific interventions or changes to improve the health of the trees.

Who benefits:-

1. Communities benefit from cleaner air, reduced heat and an improved quality of life.
2. Environmental organisations can gain vital access to accurate data for policy planning, conservation or growth.
3. Local governments can prioritise maintenance and reduce costs with real-time data.
4. Universities and campuses can maintain a much more sustainable, cooler and greener environment.

The problem matters not only to me but to everyone because each summer, as we see more and more trees(once healthy) wither and die, we realise that “planting more trees” is not the only or main aspect regarding sustainability. It is about protecting what already exists.

Waste management is a growing problem on university campuses. Students often throw waste into the wrong bins because segregation is confusing or inconvenient. This leads to recyclable materials getting mixed with general waste, increasing the environmental footprint of the campus and making recycling inefficient.

My idea is to develop GreenBin, a smart waste segregation system that uses AI-powered image recognition to detect the type of waste — plastic, paper, metal, food, etc. — and automatically directs it to the correct compartment. The bins will have built-in sensors and a small display showing disposal instructions in real time.

The system will also send data to the campus sustainability office, showing how much recyclable and non-recyclable waste is collected each week. Students could be rewarded with “eco-points” for correctly disposing of waste, which can be redeemed at the campus café or bookstore.

The main beneficiaries are students, campus maintenance teams, and sustainability clubs. It promotes environmental awareness, reduces manual sorting, and helps universities achieve their sustainability goals.

This problem matters to me because I see overflowing trash bins and wasted recyclable material every day on campus. A small technological improvement like GreenBin can make our university cleaner, greener, and a model for sustainable living.

MindLink – A Mental Health Companion

Mental health is one of the most overlooked challenges in our society. Students struggle with exam stress, professionals face burnout, and many silently battle anxiety, panic attacks, or depression. Unlike physical injuries, these struggles remain invisible until they become severe.

That’s where MindLink comes in a wearable headband designed to be a quiet but constant companion for your mind. Light and comfortable, it monitors brainwave patterns, heart rate, and stress signals. In normal times it stays passive, but when it detects early signs of anxiety, panic, or depressive thought cycles, it gently intervenes:

• Plays calming music or guided breathing through your earbuds.
• Alerts your chosen friend, family member, or therapist when stress rises dangerously.
• Sends positive prompts or connects you to safe peer support communities in moments of loneliness.

Technical Angle

• Sensors: EEG, heart-rate, and skin-conductance.
• AI Engine: Learns your unique stress patterns over time.
• Privacy: Data stays on the device unless shared.
• Companion App: Tracks well-being and sets safe contacts.

Why This Matters
Mental health isn’t about “being strong.” Even the bravest people can break silently. With early detection, many crises can be prevented.

Who Benefits

• Individuals: Real-time support.
• Families: Peace of mind.
• Therapists: Daily insights.
• Society: Fewer untreated cases of depression and burnout.

Why It Matters to Me
I’ve seen friends freeze during panic attacks, unable to reach for help. That helplessness convinced me we need proactive solutions.

MindLink isn’t just technology , it’s empathy in action.

Problem

• Student teams struggle with expensive, hard-to-use CFD software and messy, slow design comparisons.

• Most solutions are not made for small teams: they're overcomplicated or disconnected.

• Formula Student teams (and small automotive engineering groups) face critical bottlenecks in aerodynamics optimization:

• Tool Fragmentation , Accessibility, Efficiency Gaps, Limited Collaboration.

Solution

A Unified, Cloud-Based Aero Optimization Platform

What it does:

• Integrates 3D geometry import (CAD), parametric editing, fast cloud-CFD, and wind tunnel/track test data management.

• Uses AI/ML to suggest high-potential shape modifications (based on historical team/partner data), predict drag/lift/donwforce for new designs, and highlight underperforming areas.

• Provides side-by-side result comparison, easy-to-read graphs, and an automated report generator for design reviews and event entries.

• Built-in collaboration and version-tracking: teammates can comment, annotate, and compare simulations from anywhere.

Technical Detail:

• Web App: React/Vue.js front end

• Simulation: Cloud CFD (like OpenFOAM) backend

• AI: Suggests design tweaks using ML models

• Storage: Cloud database for designs/results

• Features: 3D model upload, version tracking, team sharing, badges/achievements

• Security: User login, encrypted data

Who Benefits?

• Formula Student race teams, engineering students, and teachers who need simple, affordable aerodynamic simulation and advice.

Why it Matters to Me

• Directly relevant to my work in Formula Student.

• Solves a real problem in student racing—faster, cheaper, smarter car design.

The Problem:

In hostels, residents share rooms and common areas, making it difficult to maintain consistent routines for study, sleep, and wellness. Daily issues include:

• Irregular sleep schedules due to noise, social activities, or roommates’ habits.

• Difficulty identifying optimal study times and maintaining focus.

• Stress and reduced productivity caused by poor time management.

• Health issues from disrupted routines, such as sleep deprivation or missed meals.

This situation leads to decreased academic performance, higher stress levels, and general dissatisfaction among residents.

Gaps in Current Solutions:

• Habit-tracking apps or planners are generic and require manual input, rarely reflecting real-life patterns.

• Noise-canceling devices or study spaces only partially address environmental distractions.

• Wellness guides don’t leverage data or predictive insights to recommend personalized schedules.

• Hostel management rarely has tools to support residents in optimizing their routines.

Who Benefits:

• Users (students and residents): Gain personalized insights, improved productivity, better sleep, and reduced stress.

• Buyers (parents and management): Enjoy higher resident satisfaction, fewer complaints about conflicts or poor performance, and improved hostel reputation.

• Community: Creates a culture of accountability, healthy routines, and mutual respect in shared living spaces.

Why This Matters to Me:

As a hostel resident, I’ve struggled with disrupted routines, late-night study sessions, and poor sleep. Using data and ML to optimize personal schedules can improve academic performance, well-being, and overall harmony in shared living environments.

Optional Technical Details:

• Uses smartphone sensors, wearables, and IoT-enabled hostel rooms to collect data on sleep, study, and environmental conditions.

• ML algorithms predict optimal study periods, sleep windows, and wellness activities based on past behavior and environment.

• Residents receive real-time, personalized recommendations through a mobile app, and can view analytics dashboards to track improvements over time.

Many people suffer from nutrient deficiencies or imbalances, which can lead to fatigue, weakened immunity, and long-term health issues. Traditional lab tests are often inconvenient and expensive. A blood analysis kit that works with just a single drop of blood and uses AI can provide precise, personalized insights quickly, helping users take preventive action before deficiencies become serious health problems. Over time, repeated tests allow the AI to identify patterns and refine recommendations for ongoing enhancement of health results.

How the product works - 

The blood analysis kit is meant to be quick, easy, and minimally invasive. Using a finger-prick tool that comes with the kit, the user takes a single drop of blood, which is subsequently put onto a microfluidic chip. The sample is examined for important nutrients, vitamins, minerals, and other biomarkers using the tiny channels and sensors on this chip. The information is safely transmitted to an AI-powered platform, which analyzes the findings and contrasts them with the user's lifestyle details and accepted health standards. An app or web portal provides the user with a comprehensive, customized report in a matter of hours or days, highlighting deficiencies and imbalances and offering practical suggestions such as dietary changes, supplement advice, and lifestyle advice.

Gaps/Current Solutions in the market -

Current solutions are either too complicated or too generalized. Lab-based testing is slow, costly, and not suitable for frequent monitoring & at-home supplement subscriptions often rely on surveys rather than actual biomarker data. So, a minimally invasive, user-friendly, precise, and actionable tool that combines the ease of at-home testing with the precision of laboratory analysis is clearly needed in the market.

Benefitters -

Individual users benefit by receiving tailored guidance to improve their health and wellbeing. Healthcare providers can use the technology to offer preventative care more effectively, reducing downstream costs.

Why this problem matters to me -

This problem matters to me because so many people struggle to maintain proper nutrition despite good intentions, often due to lack of information or time. Giving people access to precise, individualized data can revolutionize everyday health management by making wellness actionable and approachable rather than reactive or generic.

Technical Details -

The kit combines microfluidics and lab-on-a-chip technology to analyze a tiny drop of blood, measuring key vitamins, minerals, and biomarkers. Personalized nutrition and supplement recommendations are then produced by AI algorithms that analyze the data and compare it with past trends, lifestyle, and dietary data. In order to increase accuracy and predictive power, the system can adjust over time by learning from repeated tests.

Challenges -

Although the idea of one-drop, at-home blood testing for a complete nutritional profile is intriguing, it is still technically difficult. Only a few markers, such as glucose, cholesterol, or a few vitamins, can currently be reliably measured from a single drop, and many nutrients still need to be analyzed in a lab. Additionally, most systems still rely on lab processing, spectroscopy, or microfluidics; real-time, AI-powered interpretation straight from a smartphone is still not widely accessible. Significant obstacles are also presented by regulatory barriers; any device that makes a claim to identify deficiencies or suggest supplements is subject to medical device regulations and needs clinical validation to guarantee accuracy and safety. Notwithstanding these obstacles, studies in portable diagnostics and microfluidics indicate that consumer-ready solutions might be possible within the next three to five years.

After overcoming the challenges, this blood analysis kit will show a lot of potential, it represents a transformative step in personalized health, bridging the gap between inconvenient lab tests and generalized nutrition advice.

The Problem: Artificial Intelligence is transforming education, workplaces, and daily life. However, its excessive use has become a growing issue. Many students rely on AI to complete assignments without learning the concepts. Professionals often depend on AI tools for writing, data analysis, or decision-making without cross-checking. This reduces creativity, weakens problem-solving, and raises ethical risks like plagiarism and misinformation

Gaps in Current Solutions/Market: At present, most solutions focus only on developing more advanced AI tools rather than addressing responsible usage. There are very few AI-literacy programs that teach people when and how to use AI effectively. Existing plagiarism checkers or AI-detection tools only point out misuse, but they do not educate or guide users towards balanced use. The market lacks frameworks or platforms that encourage independent thinking while still leveraging AI’s strengths.

My solution

My idea is to create an “AI Balance Framework” that can be used in schools, colleges, and workplaces. This would include short lessons to teach responsible use, friendly nudges in AI tools reminding users to add their own input or double-check results, and guidelines for human review in important AI-driven tasks. The goal is to help people use AI as a helpful tool, without letting it replace their own thinking and creativity.

 Who Benefits:

• Students gain critical thinking skills.

• Educators get reliable tools to monitor balanced AI usage.

• Companies benefit from employees who can combine human judgment with AI efficiency.

Why This Problem Matters to Me:

As a student, I often find myself relying on AI tools for quick answers, explanations, or even drafting content. While this saves time, I’ve noticed it also makes me less inclined to think independently or push my creativity. I see the same pattern among my peers, and it worries me that we might lose essential skills if this continues. This matters to me because I want to be capable of solving problems on my own while still benefiting from AI. 

The Problem

For the majority of students, the actual problem isn't listening to lectures—it's revising well. We spend hours on end re-writing notes, scouring through PDFs, or scrolling through recordings and ending up unprepared for exams. Current edtech apps address test preparation or pre-curated content, yet they never address the day-to-day issue of making our own study notes more convenient to study from.

The Idea

FlashNote is a machine learning application that converts lecture content into flashcards and brief summaries in mere seconds. Students can submit handwritten notes, PDFs, or recordings and FlashNote will produce study material automatically. It aims to reduce time wastage and enable students to concentrate on real understanding instead of constant note-taking.

Market Gap

Existing solutions are too generic (general AI chatbots) or too costly (premium edtech platforms). None are tailored to students who require quick, trustworthy aids for revision. FlashNote bridges this gap with easy-to-use, student-centric features such as:

Instant note summarization

Auto-generated flashcards for remembering

Quiz-style testing for solidifying memory

Multi-language support for inclusive classrooms

Smart reminders for spaced revision

Who are the beneficiaries?

College students studying for exams

Learners who take notes but seldom review them

• Students struggling with time management and organization

•Anyone wanting to revise smarter, not longer

Why This Matters to Me

I’ve faced the same struggles—late nights rewriting notes, wasting time, and still feeling stressed before exams. Learning about AI showed me there’s a better way. With FlashNote, even small gains in efficiency can free up hours and reduce anxiety. This isn’t about replacing effort, but about making every hour of study count more.

The problem:
Sports injuries are one of the most common barriers athletes face. From sprained ankles to ligament tears, injuries cut seasons short, hurt performance, and often discourage players from continuing. While professional athletes have access to physiotherapists and advanced monitoring, most student-athletes, community players, and fitness enthusiasts lack these resources. Current apps only track basic metrics like steps or calories and fail to provide predictive analysis or personalized guidance. As a result, many preventable injuries still sideline athletes for weeks or months.

The solution:
I propose an AI-powered Sports Injury Prevention & Recovery Platform. Using wearable devices such as smartwatches, insoles, or motion sensors, athletes can collect data on stride length, joint angles, ground impact, and fatigue indicators like heart rate variability. Machine learning models would analyze these inputs to identify risk patterns and generate injury risk scores. The system could alert athletes when they are overtraining, detect poor form, and suggest corrective exercises. For recovery, the platform would create adaptive physiotherapy routines, track adherence, and adjust recommendations as healing progresses.

Who benefits:

Athletes: Safer training and faster recovery.

Coaches and schools: Tools to monitor players’ health.

Hospitals and physiotherapists: Remote support for patients.

Why this matters to me:
I’ve seen athletes lose confidence and opportunities due to preventable injuries. A solution like this can help keep more people healthy and active in sports.

Technical details:
The platform would use AI models for fatigue detection, posture analysis, and adaptive recovery. Data would be securely stored in the cloud, anonymized for team insights, and integrated with existing wearables and hospital apps.

The Problem

Over $180 billion in humanitarian aid is distributed annually, yet studies show that 30-60% never reaches intended beneficiaries due to corruption, administrative overhead, and lack of accountability. Donors lose trust when they can't verify impact, while communities remain underserved despite generous giving. Current tracking systems provide only high level reports "$1M allocated to education" without proving actual delivery or outcomes.

The Solution

TATS leverages blockchain technology to create an immutable, real time ledger of every aid dollar from donation to final recipient. When someone donates $100 for disaster relief, they receive a unique QR code linking to their contribution's blockchain record. They can watch their money move through each stage: NGO processing ($5 admin fee), local supplier purchase ($80 for food/medicine), and final delivery confirmation via biometric verification or SMS receipt from beneficiaries.

Smart contracts automatically release funds only when predefined milestones are met and verified by multiple parties, including local community leaders and independent monitors. AI algorithms flag unusual spending patterns for immediate investigation.

Market Gap

While blockchain has transformed finance and supply chains, humanitarian aid remains largely opaque. Existing platforms like GoFundMe focus on donation ease but lack end to end transparency. No system currently provides donors with real time, verified proof of impact at the individual transaction level.

Who Benefits

• Donors: Restore confidence through unprecedented transparency, increasing willingness to give
• NGOs: Build credibility and attract more funding through proven accountability
• Beneficiaries: Receive more aid as corruption decreases and efficiency improves
• Communities: Gain voice in verification process, ensuring appropriate aid distribution

Why This Matters

Having witnessed communities still struggling months after well publicized disaster relief campaigns, I believe transparency is the key to unlocking human generosity's full potential. When people trust their donations create real impact, giving increases dramatically potentially doubling aid effectiveness while eliminating waste.

The Problem:

Many students, even after joining a program like B.Tech, remain unsure about their true interests and which career path suits them best. They may select a specialization or prepare for a career without really understanding:

• What skills are required to succeed.
• What the actual work environment feels like.
• Whether they will enjoy the job or find it too stressful.

This often leads to wrong career choices, wasted years of study, and dissatisfaction in the workplace.

The Idea:
We are building an AI-powered gamified platform that helps students explore careers in an immersive, engaging way.

1. Explore Career Options – The platform contains a wide library of career paths across technology, management, design, and more.
2. Learn Required Skills (Level 1 of the Game) – Students pick a career, and the platform shows the exact skills needed. They then go through interactive challenges to “earn” these skills inside the game.
3. Experience the Job (Level 2 of the Game) – Once the skills are unlocked, the student “works” in a simulated environment. They experience real-world tasks, deadlines, teamwork, and stress factors.
4. Self-Reflection – By trying multiple careers, students can realistically understand:
   • How hard or easy it is to acquire skills.
   • Whether they enjoy doing the actual job.
   • If they can handle the stress and responsibilities of that role.

This way, students don’t just read about a career—they live it virtually before making life-changing decisions.

Why This Idea is Important:

• High Career Confusion: Surveys show that a majority of engineering students in India and worldwide are unsure of what career to pursue even in their 2nd or 3rd year.
• Wasted Potential: Many students only realize their mismatch after entering a job, leading to job switching, burnout, or pursuing higher studies without clarity.
• Mental Health Impact: Career uncertainty is a major cause of stress, anxiety, and reduced motivation among students.
• Lack of Practical Exposure: College curricula rarely give exposure to what real jobs feel like. Internships are limited and often come too late.

Gap in the Current Market:

• Existing career guidance tools (like job portals or skill platforms) only provide information—they list skills, salaries, and responsibilities.
• E-learning platforms (like Coursera, Udemy) teach skills but don’t show how they fit into real workplace scenarios.
• Internships provide exposure, but access is limited and competitive, and students usually get only one or two experiences, not the chance to try multiple career paths.

There is no platform today that combines career exploration + skill-building + job simulation in a gamified way, where students can safely “test-drive” a career before committing years of their life to it.

Impact:

• Students will make more informed career choices.
• Colleges can use this as a tool to guide students early on.
• Recruiters benefit from students who are already confident about their chosen path.

In short, this platform fills a huge gap between “learning skills” and “living the job.” It will transform career guidance from theoretical advice into an immersive, practical experience.

Praxis AI is an innovative educational platform designed to serve as a personalized AI-powered study partner for Indian students preparing for competitive exams like the Joint Entrance Examination (JEE). Leveraging state-of-the-art large language models and intelligent agentic workflows, Praxis AI delivers precise and customized tutoring in essential subjects such as Physics, Chemistry, and Mathematics.

Unlike generic chatbot tutors, Praxis AI creates domain-specific digital tutor agents that understand the unique challenges of JEE preparation. These AI tutors provide accurate answers to academic questions, generate customized practice questions and mock tests, explain complex concepts with clarity, and guide students step-by-step through difficult problem-solving processes. This 24/7 availability ensures students always have support whenever doubts arise or revision is needed.

The platform incorporates cutting-edge OCR and semantic search technologies to extract and organize information from NCERT textbooks and other standard study materials. This integration helps students focus on weak areas by presenting relevant content, summaries, and topic-wise questions intelligently tailored to their learning pace.

Praxis AI emphasizes student engagement through interactive study rooms, quick-help AI assistants, and distraction-free interfaces that make learning more motivating and efficient. Behind the scenes, a robust, scalable backend built on FastAPI, Supabase, and cloud deployment tools guarantees smooth performance and rapid development cycles.

The system also prioritizes the privacy and security of student data while offering insightful learning analytics and detailed feedback. These features foster continuous improvement and help students track their progress toward exam readiness.

By combining advanced AI technologies, pedagogical insights, and seamless engineering, Praxis AI aims to democratize quality exam preparation and unlock every student’s potential to excel in JEE and beyond.

This expanded text covers important aspects such as personalized learning, technology integration, learning engagement, backend reliability, data privacy, and the mission to empower students comprehensively.

One of the biggest struggles people face today is understanding what’s really on their plate. Whether it’s someone trying to lose weight, a gym-goer tracking protein, or a person managing diabetes, the lack of convenient, accurate nutrition tracking makes the journey frustrating. Current apps like MyFitnessPal or HealthifyMe require manual searching and logging, which is not only time-consuming but also error-prone—most users give up after a few weeks.

NutriSnap solves this by making nutrition tracking as simple as snapping a photo. Using advanced AI and computer vision, the app instantly analyzes any meal (home-cooked or restaurant food) and provides:

• Calories and macros (protein, carbs, fats, fiber)
• Portion size estimation
• Ingredient breakdown (useful for allergies and restrictions)
• A “health score” that explains whether the meal is balanced or needs tweaks

Beyond tracking, NutriSnap gives personalized recommendations—for example, suggesting how to increase protein intake or balance sugar levels. It integrates with fitness trackers and wearables, so users can see the bigger picture: calories consumed vs. calories burned. Gamification (streaks, challenges with friends) keeps users motivated, while partnerships with gyms, nutritionists, and food delivery apps create a scalable business model.

The target users include health-conscious individuals, fitness enthusiasts, people with medical dietary needs, and even professionals like dieticians who can use the tool to help clients. Communities benefit too—by making health awareness accessible, NutriSnap can help combat rising lifestyle diseases like obesity, diabetes, and heart conditions.

This idea matters to me because I’ve seen how confusing and discouraging diet tracking can be. People want to be healthier, but the friction of manual tracking becomes a barrier. With NutriSnap, nutrition awareness becomes effortless, accurate, and empowering—like having a personal diet coach in your pocket.

One of the biggest challenges online shoppers face today is finding the best deal for a product across multiple websites. Prices vary widely between e-commerce platforms, and many times users miss out on additional discounts, coupons, or bank offers simply because they are not aware of them. This leads to overspending and a frustrating shopping experience. My idea is to build an AI-powered website that searches the web for a specific product and returns not only the site with the lowest base price, but also calculates the best possible price after applying available offers. For example, the system would factor in bank discounts, coupon codes, seasonal deals, or cashback opportunities, and display a step-by-step guide on how to claim them. Current solutions like price comparison sites only display raw prices without considering applicable offers or dynamic discounts. This gap makes it difficult for users to know the actual lowest price they can pay. My solution bridges this gap by combining real-time web scraping, AI-based deal recognition, and optimization algorithms to give the user the most cost-effective purchase path. The primary beneficiaries are online shoppers, especially students, working professionals, and families looking to save money on essentials or gadgets. In the long term, this tool can foster smarter consumption habits, reduce impulsive buying, and increase trust in digital shopping. This problem matters to me because I have often spent hours comparing prices manually, only to realize later that I missed a better offer. An AI-based assistant that ensures transparency and savings will save both time and money, making online shopping stress-free.

Re-Mind: The Supply tracker and reminder app

In today’s busy world, people often struggle to keep track of basic household supplies such as- groceries, toiletries or even fuel for vehicles. This causes last minute stress and inconvenient grocery-runs. As a solution to this modern-day problem, I present to you – Re-mind: The supply tracker and reminder app.

How it works:

• Input data- users enter the items purchased/bills anytime during the month.
• Groupwise segregation- makes calculations based on which group a user belongs to (eg- student, homemaker, small business).
• Track usage- based on initial input of the items consumed, an ai model makes an estimate of the longevity of supplies.
• Periodic reminders- the app tracks usage over time and gives an estimated reminder to restock supplies.
• Enables reordering- provides already existing sources to reorder supplies based on the bills provided.

Key Features

• Multi-Category Tracking – Monitors groceries, toiletries, fuel, and other essentials in one app.
• Usage Analytics – Learns weekly/monthly consumption patterns for smarter predictions.
• Categorized modes- Helps users according to their requirements (student,
• Smart Reminders – Notifies users before items run out, customizable by preference.
• Expense Insights – Dashboard showing monthly spending and usage trends.
• Easy Reordering – Directly connect to local shops or delivery apps for quick restock.

Gap in the market

70% of households rely on memory or manual lists, causing shortages or waste. Grocery apps enable buying, but none predict usage across multiple categories. A unified, predictive tracker fills this gap, combining analytics, reminders, and reordering into one solution.

Who does it help?

It benefits households, students, professionals, and small businesses by preventing shortages, reducing waste, saving time, and ensuring timely restocking.

Why this problem matters to me?

As a college student living in hostel, I often forget about my stock of supplies- namely toiletries and eatables, thus this tracker would help me manage my supplies and basic monthly expenses.

Most existing Rubik’s Cube apps only provide tutorials or timers, but they don’t actively help solvers improve their efficiency.Cubalyze, is a platform designed to bridge that gap, offering both casual cubers and professional speedsolvers a smarter way to practice.

The app would analyze solve paths by letting users input scrambles manually. Instead of only recording time, Cubalyze would break down every step—detecting missed opportunities such as an easier X-cross, optimal F2L pairings, or advanced cases like ZBLL. Using AI, it then suggests personalized improvements based on the solver’s method, whether CFOP, Roux, ZZ, or a hybrid style.

Unlike current tools, Cubalyze would support multiple puzzles, including 2×2, 4×4, Megaminx, Pyraminx, etc. Users could easily input the scramble of their puzzle, and the solver would generate efficient algorithms, guiding them through the solution. Additionally, cubers can post their own solved solutions, and Cubalyze will analyze them, highlighting mistakes and suggesting better algorithms or approaches to solve more efficiently.

For speedcubers, Cubalyze would feature a customizable training mode: drilling last-layer cases, suggesting which algorithm sets to learn (like COLL or WV), and tracking not just times but also solution efficiency. It would also highlight the balance between TPS (turns per second) and move efficiency. On top of that, it would suggest the correct finger tricks for each algorithm, ensuring cubers can execute them with both speed and ergonomics. For beginners, it offers a smooth learning curve from simple layer-by-layer methods to advanced speedcubing techniques.

The gap in the market is clear: timers and tutorials exist, but there is no comprehensive tool that analyzes solves, supports different puzzles, and trains efficiency in a user-friendly way.

This idea matters to me because as a cuber, I know how frustrating it is to miss an efficient solve path or spend hours searching for algorithms. A platform that combines analysis, guidance, and versatility using AI would make cubing faster, smarter, and more fun for everyone.

FoodResQ – AI-Powered Leftover Redistribution Network

Solving a Real-World Problem

Food is one of the most basic human needs, yet we live in a world where some people throw it away while others go hungry. Every day, weddings, restaurants, corporate canteens, and hostels dump trays of untouched, fresh food straight into the bin. At the same time, just a few streets away, families struggle to secure even a single meal. This paradox of abundance and hunger existing together is one of the most frustrating realities of our society. It is not because food doesn’t exist — it is because we lack an efficient way to connect surplus food with people in need.

Gaps in Current Solutions

There are NGOs and good-hearted volunteers who try to collect and redistribute extra food. But their efforts face serious limitations:

• Unorganized process: Collections are often ad-hoc, relying on personal networks.

• Food safety issues: No quick system exists to verify freshness before redistribution.

• Delays: Manual coordination means food may spoil before it reaches people.

• Lack of transparency: Donors rarely know where their food ended up, reducing trust and motivation.

What we need is not more goodwill alone — but a system that brings structure, speed, and trust to food redistribution.

The FoodResQ Concept

This is where FoodResQ comes in — an AI-powered redistribution platform that transforms “waste” into “opportunity.”

Here’s how it works:

1. A hostel, restaurant, or household uploads details of surplus food on the FoodResQ app.

2. An AI matching engine pairs the food instantly with the nearest NGO, shelter home, or family in need.

3. Local gig workers or delivery partners are dispatched to collect and deliver the food quickly.

4. A small IoT freshness scanner verifies quality before dispatch, ensuring safety.

5. Blockchain-based tracking records the journey of each donation, so donors and NGOs can see exactly where meals went.

In this way, technology creates a real-time, transparent bridge between those who have food and those who need it most.

Who Benefits

The ripple effects are powerful:

• Hungry families gain safe, nutritious meals with dignity.

• Hotels, hostels, and restaurants reduce guilt, improve brand image, and even qualify for CSR credits.

• NGOs save enormous time and energy, allowing them to focus on service instead of logistics.

• Governments and society benefit from reduced landfill waste, improved public health, and cleaner cities.

Why It Matters to Me

I have personally witnessed the sad contrast of food being wasted at large events while children outside go hungry. That memory has stayed with me. Food is not just calories — it represents care, security, and dignity. Watching it being dumped while others starve feels like a failure of our collective responsibility. FoodResQ matters to me because it converts that helplessness into hope, by offering a practical, tech-driven way to share abundance.

Technical Feasibility

The idea is ambitious, but not unrealistic:

• IoT freshness scanners are already used in supply chains.

• AI engines can match supply and demand in seconds.

• Blockchain offers transparency and trust.

• Gig delivery models (like Swiggy or Dunzo) have proven logistics at scale.

The challenge is integration, not invention. With the right pilot in a single city, FoodResQ can quickly demonstrate impact.

Closing Thought

Food waste is more than an economic problem — it is an ethical one. Every untouched plate thrown away is a lost opportunity to feed someone in need. With FoodResQ, leftovers are no longer wasted; they become lifesavers. Even a small beginning can inspire a national movement, because one saved meal is not just food — it is hope, health, and humanity.

Managing monthly finances as a student can be challenging, specially when you're trying to handle multiple expenses with limited income. I've personally struggled with keeping track of my day to day spending, which often leads to me running out of money due to my own wrong decisions before the month ends. The finance apps out there now are either too complicated, don't work with UPI payments or make you enter everything manually, which is a real hastle for students who mostly use UPI or cash for everything.

My idea is to create a finance management tool that's made specifically for students by connecting it directly to UPI apps or your bank statements so it can track online payments automatically, it can also have an ai chatbox integration that is trained with your spending history to help you get more datails on how you should spend your money wisely. For people who pay with cash, the app would let them add expenses manually. This solution would show your daily spending in real time with features like comparing your average daily expenses to recommended limits, let you have a chat about the product you want to buy or not and taking help of ai in buying stuff or spending money. If someone spends more than their usual amount on any day, the app could either block or reduce how much they can spend for the rest of the month to help them avoid overspending. moreover this could be a day to day app for people other than students too for managing monthly expenses 

Major Gap In The Market:

This tool would fill a gap in what's available in the market by being easy to use, directly connected to UPI payments,AI chatbox integrations and having smart expense controls designed for students. normally, available applications are filled with too much ads, hard to add and sort the expenses  and very generic graphs and filled with none of the features useful for the current genration of payments. It would help users keep better control of their money, feel less stressed about finances and learn good money habits early.

Who benefits:

• Students trying to manage tight monthly budgets
• Parents who want to help their kids learn about money management
• Universities that want to support student wellbeing

Why it matters to me:
As a student who has had trouble managing monthly expenses, I want to make something that makes tracking finances easier and helps others take control of their money, so they don't end up overspending or running out of money in the middle of the month.

Technical Details:

• Connection with popular UPI apps to import transactions automatically
• Option to enter cash payments manually
• Dashboard for tracking daily expenses
• Warnings or spending limits when someone overspends
• Visual graphs showing spending patterns compared with how you are spending expenses
• ai integration to manage expenses based on your spending pattern
• you can have a quick Q&A or chat with ai to know if you should buy anything or not