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i believe ai has made me experience a lot. it helped me test models based on the existing data from other models and we got the project to advance further.

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I try to use AI tools like chatgpt, perplexity to get initial ideas and find source websites to find info around household food wastage problems.

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Using AI was helpful

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I went theou the nesletters related and got tje link to the other materials

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Use AI, research papers, try to find organizations that do similar things, search the name of your project, search the concept of your project, search keywords related to your project.

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The organisations that are working to solve the sam eproblem as me I had previously found through Instagram.

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I used Google, Chat GPT and spoke to some of my colleagues to know who are working towards solving the same challenge and how are doing it.

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What helped me the most was using key words like circular economy and native knowledge. I used my network, linkedin and google to do research about platforms that already exist and analyze what works for them.

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looking at your network and seeing what different sectors people you are already connected with work in and deep diving to see where they work and look on their website to see if there is possible moments for collaboration

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I searched for waste segregation projects on the given directories but wasn't able to find something specific to segregation, then I took help from chat gpt and through google search I got to know more about the existing solutions in waste segregation.

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I used google to find a lot of articles based on the problem I am working on. Furthermore, YouTube has been very helpful to visual different ways to solve the problem. For example, how to fix hydroponics pipes when they are infected with bacteria.

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The Internet

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I find that by channeling my thoughts, ideas and challenges from my mind to the physical world through writing or discussion with my peers, I get clarity and fresh perspective in tackling my problems.

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What helped me was my real-life experience of growing up in a farming community. Being part of it and working alongside farmers gave me first-hand exposure to the problems in the agriculture sector. My access to farming networks and local government bodies further deepened my understanding. In addition, research and conversations with different stakeholders helped me see that these challenges are not just local but affect the agriculture sector across the entire country.

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I used a review matrix to look into different solutions and journals about them so as to learn from them. It also helped to use a mind map to map out the root cause of the problem i am looking to solve

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Honestly, my inspiration came from different places like books I have read, experiences I gained from others facing similar challenges, and insights collected through environmental programs I actively participated in. These gave me a strong foundation to understand the problem and possible solutions. I then turned to LinkedIn as my main source to connect these ideas with real-world examples, since it provides access to organizations and individuals already working on food security and climate-smart agriculture. Through this, I discovered NGOs and grassroots initiatives sharing their approaches. Bringing these sources together helped me see how existing solutions are being implemented and how they can be adapted to my community’s context.

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shark tank india helped me find the india , chagpt helped me understand about it!!

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hrjrhdH

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I have already idea about the problem because of my relevant background but i don't have the solution. So, i first started with relevant google search and looking for relvant strtups who are working laready then i switch to deep chatgpt search for creating a constructive structure building a solution and it help me cretae a detail map for solving my problem.

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Part of my experience to identify my impact zone was the use of keywords and AI tools to determine my interest, but also provided me links, websites, past-projects, research, and more information related to Mangrove's ecosystems in Panama and it's beneficial role in the environment.

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The resources provided here on the platform helped me, I also used youtube to fully understand certain concepts by watching videos. I also ised AI to gain insights

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Correctly Drawing down the mind map helped me develop a better understanding of the problem. I was able to understand that there is not only one way to look a problem. soon with some quick basic search I was able to get alternative solutions. which became opportunity.

soon I was able to connect and relate one with other and support one another.

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For me it was talking with people

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I used LinkedIn and Google Scholar to explore existing solutions on sustainable agriculture and rural waste management in India. I searched for terms like “crop diversification Telangana” and “rural waste management India.” LinkedIn helped me find organizations and professionals working directly in these areas, while Google Scholar gave me access to recent research and case studies. What helped most was using specific keywords and filtering for recent publications. This showed me that successful solutions focus on community-driven approaches and locally adapted practices.

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As someone who is focused on educational and behavioral change, it made it easier to find already existing research to back my solutions for creative education I'm trying to provide.

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I just ran a Google search on how others in my zone have been working with our problems, and then I used AI sources to find more specific/less advertised pieces of knowledge

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For my solution, I first saw the challenges that my community was facing. I later came across a fellowship that highlighted what their fellows were working and this sparked my curiosity to search more on Google and see if the solution might be helpful for my community as well. Going forward, AI has been useful in searching for articles and publications to help me refine my solution.

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What helped me first was using AI tools like ChatGPT. Then, I started searching through different community websites such as the EU Horizon Funds. This helped me find similar solutions to mine, albeit a bit different.

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Begin with ChatGPT, and once the idea is solidified, move over to google scholar. use chtgpt to figure out loopholes, or areas we could cover with our existing idea, then learn about them using google scholar.

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Using the above tools, I found a story from Project Drawdawn that tells about cleaning river water. But being inspired from my friends, I checked ChatGPT to generate keywords and found research papers on toxic effluent management and they are great :)

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A combination of AI tools as well as the news reports both local and international. i cannot also overlook the impoprtance of having conversations with those already working on similar problems to give a more experienced and upto date overview of what i intend to do

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what helped me find what i was looking for was twitter commonly known as X i follow diferent agricultural accounts and thet inspire me to create a change.

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I used google scholar to find world wide statistics as well as existing solutions to the challenges in different parts of the world.

I then used chatgpgt to circle back to my country with statistics and again existing solutions. Going to use chat agin to collaborate findings

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I started by searching on LinkedIn using a mix of broad and specific keywords connected to my challenge. For example, instead of just typing “tourism,” I tried combinations like “regenerative tourism,” “sustainable tourism transport,” and “government incentive programs for sustainability.” This helped me filter out generic results and focus on projects, organizations, and thought leaders already working in these areas.

I also explored hashtags like #RegenerativeTourism, #SustainableMobility, and #ClimatePolicy on LinkedIn to discover ongoing discussions and networks. From there, I could see not just organizations, but also individuals who are actively contributing ideas and implementing solutions.

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AI Tools (ChatGPT) helped manoeuvre the overlwhelming research process. I also found the shared Project Drawdown very helpful. Also by reading about each existing solution kinda sparked new ideas. It was fulfilling

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I spoke with other entrepreneurs in the space to understand the landscape and product-market fit.

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i have always used AI and approached professionals in the field to attain more knowledge

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I used the SDG approach, wrote the SDG that i'm working on and found different solutions that are close to mine. I also utilised ChatGPT, which highlighted the links faster and I followed and dived deeper into the options provided

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I tried to understand the context through my area, observation, discussion, and finding key on LinkedIn to understand more about this. Once I understood i took help of experts and AI to create a structure.

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I searched for research papers whether there is any research done in the problem where i am working , any datasets which can help me support my problem statement then i searched online on google the companies that do similar kind of work which i am planning to do.

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I found Climate Story Lab Africa, which closely mirrors my own approach of using creativity to connect people with climate issues. The Lab brings together storytellers, activists, and communities to craft compelling narratives that amplify African voices on the global stage. Just as my workshop used soundscapes and drawing to spark imagination and emotional connection in children, Climate Story Lab Africa demonstrates how artistic and sensory storytelling can shift perspectives and inspire action. What helped me find this solution was focusing on platforms that integrate storytelling, community engagement, and climate action. Searching through African creative climate initiatives showed me that others are also using imagination and art as powerful tools for environmental awareness.

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From the very beginning, I set out to tackle the problem of postharvest losses in Kenya’s fruit and vegetable value chain. I researched what other innovators had already done in this space.With the help of AI (ChatGPT) I was able to get understand what has already been worked on..

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Having been closely linked to the challenge, I was able to reach out to communities related to the challenge and discover existing solutions. I was also able to use AI LLMs to summarise reports on these solutions to better understand how they work.

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I realize that there is rarely ever a problem limited to only one place in the world. So a simple search of my problem pulled up case studies of places dealing with or that have dealt with a similar problem. The next step is then viability comparisons with the local environment and voila, miles of progress.

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I started to explore the existing solutions with a normal google search but most of the solutions that I found was unsustainable or was about completely stopping usage of the some sources which doesn't seem plausible to me. So. I moved forward to find research papers from Google Scholar, Connected Papers, Researchgate etc.

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GPTCHAT USD I

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I used a quick google search, went through new articles, then research articles, and then landscape, policy, and strategy documents

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In my case, I used ChatGPT to ask for some solutions that already exist for some problems that I am facing, then after doing this I was able to find a lot of results that led me to more questions and solutions in different social media or websites.

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I've looked into community-based efforts to reduce overconsumption both in Minneapolis and Lexington out of financial necessity. I've discovered many organizations that encourage the circular economy model through my local library.

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My searching approach that has been very effective is direct consultation/interviews with my target audience that is farmers. I'm working on coming up with a system that will enable farmers know and understand their soil knowing exactly what it needs so that they can fully optimize food production. Consultations I've done so far have helped me know that there are existing solutions in place that I'm looking into to improve and make accessible to all farmers.

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Brown Gardening Tools Sale Instagram Post

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I simply googled "kombucha leather" to see if there was any news about products for sale or people who had been experimenting with the material. I did not find much except for one college student who made a kombucha wallet and had plans to further pursue the material. I have since connected with her on LinkedIn and hope to check in on her progress.

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Always use AI tools to brainstorm and preliminary research, but when you grasp the knowledge I believe everyone should close them and thinks about story and authanticity after that start reaching out people that tackles with similar problem before and possible partnership towards your goal. Easier to said then done.

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i used ai to help see what solutions were already being used and why they are still not really working (eg. no marketing)

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I spoke with other aspiring entrepreneurs to learn about the projects that they were aware of. I also used ChatGPT and Google to search for projects that were similar to mine

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I began listing the possible stakeholders to understand better. Every time when I reach out to another stakeholder the person gives a new perspective to my idea and how to go about working on it.

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I started with using meta AI and chatGPT which helped me access helpful websites l was able to learn more about my Idea

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I wanted to understand the conversation occurring around my topic so I used a keywords to check on Linkedin and Reddit. I also looked at a social listening platform to see where, how, and what conversations looked like across the globe.

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I used Google and ChatGPT to help me expand my ideas and give me more details and nuances on the project I am working on.

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Sometimes, all it takes is a simple google search. Just search about your prooblem, and similar solutions and organisations working in the same field appear.

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I think AI is very helpful in finding the relevant links and resources for the project. Also I am checking the websites where I can find data and stats to do some research by myself.

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What helped me find what I was looking for was using AI and looking up South African Statics -this gave me data of the past few years related to food insecurity.

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I listened more closely to the young farmers themselves. Their stories about struggling with low yields, unpredictable weather and lack of affordable financing gave me clarity on the gap i needed to address. Beyond that, engaging in user research, speaking with mentors, and exploring existing solutions in the sector allowed me to filter through ideas and identify what was practical, youth-friendly, and climate resilient.

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I searched LinkedIn and found several posts that promoted my idea. This helped me to easily research the project and find references to the articles that provided context and relevant solutions.

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What helped me find my approach was looking through documentaries of stories around Africa working to address the same problem as the one I was trying to solve.

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I started off by using ChatGPT and DeepSeek to explore the basic approaches to the problem of waste management. Afterwards, I held one-on-one conversations with the people I identified as beneficiaries, which served as a form of survey to better understand their needs and perspectives.

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using the mind mapping method helped me by narrowing what l'm searching for. l used the websites and looked for articles that deal with my topic of interest and also looked into other key branches about my challenge and its solutions

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I've been asking chatgpt for various versions and companies working in the same impact zone and how are they also making profit

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i have had very many existing ideas/solutions that i have got to fine tune hugely relying on AI tools

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tpgtahC

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Google scholar is a fast and easy way to find many peer-reviewed, scientific publishings on a huge variety of research topics. I typed in my keywords "Coral larvae deployment system" and found a few articles discussing their techniques and what has worked well thus far.

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Honestly, looking around and being aware of the surrounding's needs was enough to start off. Today in the information age, knowledge is just one click away. "Knowing" what to click makes it a lot easier.

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Chat GPT, Google search, and online directories (such as that of the UN) are useful resources to finding what ideas already exists. I think Chat GPT is the most effective and efficient, due to the way it provides the most relevant results to one’s query.

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For my case, I began with the directories shared, then went on to use google to find companies tackling my challenge, and completed with elicit AI to find recent papers detailing research done i the area

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Overall, what helped me find what I was looking for were IA tools, such as DeepSeek and Gemini, as these gave me the big picture of what my solution looked like. Additionally, searching on social media platforms like TikTok, Instagram, LinkedIn, and YouTube helped me see how some people have tried to reach a goal like mine, yet have used different resources to do so.

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I searched using LinkedIn, Crunchbase, and Climate Tech VC directories with keywords like “Scope 3 emissions,” “carbon in procurement,” and “ERP sustainability tools.” I explored case studies from CDP and PCAF to understand industry benchmarks. Platforms like Watershed, Normative, and SAP's Sustainability Control Tower stood out. Reviewing how these tools integrate with finance and operations helped refine my project direction.

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LinkedIn helped me connect with folks tackling the same impact project, setting up a conversation with them helps me sieve what works, what's been tried, and to envisage futuristic goals.

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Now, I can find what I need for my requirements with Ai tools.

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Personally, my idea came when attending a residential summer school on Circular Economy. Well initially, I had an idea on Waste Management Impact Zone but from the two weeks, through the trainings in the summer school and the brainstorming with other participants, the idea evolved into a whole new concept

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I used Ai platforms such as chat GPT and Google to give me research papers that focus on decarbonization methods and how they've evolved as well as modern technologies for manufacturing

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what helped me is finding articles that talk related to water purification. Also chat gpt to get a general idea

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Since my project idea is niche and very terminology-intensive, I did research, looked through a lot of scientific papers, articles, journals, publications, and speeches on the topic to understand what people have done and how I can add novel parts to my idea and how they have solved the problems, what were their approaches to the problems, struggles I may face during the application of the idea.

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Google Scholar has been of great help in helping check some related solutions to heat stress in livestock. By using Gemini l have been able to delve into the topic

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seeing and examining global examples of good works made me wonder, can we scale this with a local model.

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I used LinkedIn and data directories with keywords like environmental education, sustainability programs, climate literacy in India. Applying filters (youth, NGOs, CSR) helped me quickly find similar initiatives and compare them with EAAP.

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Honestly, what helped me the most was turning to local resources in my city (Bursa) after doing some general research online. I had the opportunity to speak with a few industrialists from the organized industrial zones here, especially on the topic of energy efficiency. Hearing firsthand about their existing solutions and what kind of incentives they need to transition to clean energy provided me with the practical information I was looking for. Combining theoretical knowledge with real-world insights from the field was the most effective method.

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It all started with proven methods. Since my idea is related to the pet food industry and I am a pet parent myself, I noticed a gap in the existing solutions where I felt I could contribute. My research began with the given directory, then expanded to LinkedIn. With the support of AI tools, I was able to dive deeper into it.

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I used Linkedin and filtered by keywords related to my challenge like “soil regeneration,” “smart irrigation,” and “rural farmer support.” Searching within Türkiye helped me find region-specific solutions. I also explored profiles of NGOs and social impact startups to see what kinds of approaches are already being used in similar contexts. Reading through a few project descriptions gave me both insight and inspiration.

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What helped me find what I was looking for was combining LinkedIn filters with keywords I had refined using ChatGPT. Starting with broad terms like “sustainable finance” and then narrowing down to “African impact fellowships” made the search much more effective. I also checked the “related organizations” suggestions on LinkedIn, which led me to opportunities I wouldn’t have found otherwise.

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I sarted with prompts at chat gpt that helped me orient what I cared about to solutions for problems in my comunity, then I spend time thinking about the issues that lead to the problem I needed to know about at first, finally, I looked at key words that could help me find information at research platforms

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When I first started researching, I would often go straight to ScienceDirect to find papers on a specific topic. This approach was challenging because the search results were overwhelming and included countless related papers. Now, I use tools like ChatGPT or DeepSeek to identify focused papers, from which I can expand my understanding of the topic I am truly interested in.

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Using AI tools that helped link me to resources with information related to my impact zone and project.

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Use of Keywords

Academic databases

Government and policy reports

NGO and development agencies

Case studies

Local universities

Professional networks

News and industry reports

Webinars and conferences

Startups and companies

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What helped me find what I was looking for my project was the combination of several important aspects. First, I began by clearly identifying the problem that most communal wastewater treatment plants using only anaerobic processes were not able to meet the required standards. This led me to refer to the existing regulation, as a benchmark to understand the gap between actual conditions and environmental requirement

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Specifically searching keywords on my project as well as focusing on the specific country in question, I was able to compare the successful implementation strategies or the direction is it currently taking. Then comparing with my project to see what gaps has yet to be resolved.

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Honestly, observing the behavior of people online, especially shopping hauls or fashion related content, helped me understand the psychology and motivation behind overconsumption so that I can better address this issue in my project

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This is what helped me find what I was looking for

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I primarily used LinkedIn go get an idea of the latest decarbonisation trend and after the same I used google search and in it news to get an idea of the latest developments and app currently in place. It worked for me to some extend, but might be more helpful to others!!!

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I looked for keywords on Google search, something quite obvious, but I haven't tried it before.

I was impressed when I found two very similar organizations that are working in something similar than mine.

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By using specific keywords in search engines, such as 'rainwater harvesting systems,' 'water conservation methods,' and 'sustainable water management.' helped me to find what I was looking for. I also visited reliable websites like government portals, environmental organization sites, and academic research platforms. Watching videos, reading case studies,helped maalsounderstpraimplementations and innovative techniques used in different regions

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I used google scholar and pubmed to find research papers within the niche I am working in! I also used google patents to find what was currently being built in the space. I was able to have chatgpt give me key words to search for both sites to help me find what I was looking for.