Empowering great minds
Foster experimentation, collaboration, and innovation in Deep Tech
»About Hackathon
Deeptech GigaHack represents a unique opportunity for IT professionals, tech enthusiasts, startupers, business developers, and experts in Deep Tech areas to experiment, collaborate and innovate.
For 2 days non-stop, participants will have the opportunity to work in teams on various technical tasks assigned by the hackathon team or chosen by themselves. They will discover and experience the latest technologies, tools and techniques to create innovative solutions in cyber security, energy, IoT, machine learning, big data, and AI. With the guidance of expert mentors and access to all necessary technical support, participants will have the chance to showcase their skills and compete for a grand prize.
People with different experiences, skills, and perspectives will come together to share ideas, leading to cross-pollination of knowledge and highlighting new aspects.
The objective of the event is to provide specialists with an opportunity to experiment and create innovative solutions for deep tech challenges. It also aims to establish long-term collaborations between specialists in a research or development context, with the support of event partners and other stakeholders, even after the event.
Big data
AI & ML
Biotech
HealthTech
Fintech
Energytech
Your technology
» Who We Address
Tech Gurus_
Influential IT professionals, experts in the latest trends and innovations in technology and willing to explore their insights and expertise for solving challenges and creating original solutions.
Tech Enthusiasts_
Junior and middle IT specialists looking for opportunities to improve their skills, gain practical experience in solving real-world problems, and expand their network of contacts with peer professional field.
Researchers and Professionals
» Challenges
EnergyTech | IT Bricks
40 000 MDL
Green Energy Production Forecasting: Powering the Future
Welcome to the Green Energy Production Forecasting Challenge! In this scenario, your task is to revolutionize the green energy sector by leveraging the power of DeepTech. With the Meteo Data provided, you are to develop a sophisticated and accurate forecasting tool for predicting energy production from renewable sources(wind and solar energy). Your tool should be capable of interpreting complex data, identifying patterns, and producing short-term and medium-term forecasts for each type of green energy. Your challenge is to create a solution that not only generates precise forecasts but also presents them in a user-friendly, intuitive format. This solution would assist national-level planning, facilitate economic development, and streamline the modernization of the energy sector. Additional insights into factors influencing green energy production and suggestions for optimizing energy use based on the forecasts would also add
value to your solution. Remember, you’re not just predicting the future; you’re shaping it! Good luck!
Evaluation Criteria:
- Accuracy of the forecasts: The primary goal is to generate accurate short-term and medium- term forecasts.
- User Interface: The data and predictions should be displayed in an intuitive, easy-to- understand format.
- Additional insights: The tool should ideally provide additional insights into the factors influencing green energy production and suggest ways to optimize energy use.
- Scalability: The tool should be designed with scalability in mind, capable of handling an increasing amount of data over time.
- Innovation: Extra points for teams that bring a fresh perspective and innovative approach to the challenge.
BigData Challenge | Veridion
40 000 MDL
Generate accurate descriptions about companies at a global scale
This challenge is all about being able to ingest and comprehend data from the internet at a large scale. Starting from a company website and what they write about themselves on the internet, your mission is to generate accurate descriptions of what that company does.
Evaluation Criteria:
- Your solution must work for almost any company in the world, that implies hundreds of millions of texts, so using chatgpt in production is a no-go.
- Veridion will provide you with a starting data set to work on, but you are free to attempt to get any other data that you feel might help you.
- The challenge implies generating one encompassing yet efficient description, however extra points will go to teams who generate multiple descriptions covering different perspectives of a company (historic / financial / products / services / general activity / business model / areas of expertise / news / and many many more potential candidates).
- Extra points go for being able to cover multi-lingual content in the same pipeline of generating descriptions.
FinTech | National Bank of Moldova
40 000 MDL
Open Banking and Instant Payments: Revolutionizing Fintech
Welcome to the Open Banking and Instant Payments Challenge! This exciting venture beckons the brightest minds in DeepTech to redefine the future of fintech. Your challenge, should you choose to accept it, involves increasing the efficiency and security of open banking systems and instant payment platforms. Open banking, through secure APIs, shares financial information and promotes competition and innovation. On the other hand, instant payments enhance user experience by processing transactions immediately. We invite you to design a sophisticated algorithm that not only detects fraudulent activities swiftly and accurately but also offers insights to improve financial security. Alternatively, you may choose to develop an innovative instant payment platform that redefines the user experience and raises the bar for fintech. Embrace this challenge to change the face of financial technology. Join us with your groundbreaking idea, win this challenge, and together, let’s revolutionize finance!
Evaluation Criteria:
- Efficiency: Solutions should streamline open banking and instant payment systems.
- Security: The proposed solution should heighten the security of financial transactions.
- User Experience: The platform should enhance the user experience through its design and functionality.
- Innovation: The solution should introduce novel ideas to the fintech space.
- Scalability: The solution should be capable of handling larger volumes of data and transactions over time.
- Compliance: The solution must adhere to relevant financial regulations and data privacy standards.
HealthTech | Corlab
30 000 MDL
10 000 MDL cash and Medical Control ”Corporate Optimal” by Medpark, 4095 MDL per each team member.
Generate an avatar that closely resembles the person physically and reflects their health status.
This hackathon challenge invites you to create a digital avatar from DNA data, Electronic Health Records (EHR), and Personal Health Records (PHR) of an individual. The aim is to generate an avatar that not only closely resembles the person physically but also reflects their health status according to PHR and EHR data.
The DNA data will provide a basic picture of the person’s physical structure, including features like eye color, height, body shape, and others. Electronic Health Records (EHR) will offer historical data related to the person’s health status, including diagnosed illnesses, surgical interventions, and medical treatments. The Personal Health Record (PHR) will add an additional layer of information, including lifestyle, diet, exercise, and other activities that can influence a person’s health.
Evaluation Criteria:
- Comprehensive Data Integration: the project needs to have the ability to seamlessly combining physical traits, health indicators, and potential medical conditions into a coherent digital avatar.
- Realistic Avatar Representation: your project must create a visually accurate avatar that captures the person’s physical appearance, providing a realistic and relatable representation.
- Health Insights Visualization: to effectively translate complex health data, easy identification of chronic diseases and other relevant health information for both users and healthcare professionals.
- Historical Data: The avatar must store historical data about a person’s health and allow healthcare professionals to easily update information.
20 000 MDL
Predictive Order Analysis for Retail Shop.
The purpose of this project is to develop a machine learning model that will accurately predict daily orders of retail shops. These Predictive orders will be shown to Sales Representatives (SR) during their shop visits before getting the order from the shop owner. With accurate predictions of retail shop orders, SR can ensure that products are always available on the shelves when consumers need them. Predictive ordering eliminates the need for manual guesswork and frequent follow-ups with shop owners. This frees up sales agents’ time, enabling them to focus on more value-added tasks like building relationships, identifying new leads, and providing personalized services.
Predictive algorithms minimize the chances of human error in placing orders. This results in fewer mistakes related to incorrect quantities, wrong products, or other order-related issues.
Evaluation Criteria:
- The success of the project will be evaluated based on the accuracy and precision of the machine learning model, as well as user feedback.
- Predictive ordering models can incorporate seasonal fluctuations and trends, enabling sales agents to proactively adjust their inventory and offerings to meet changing customer demands.
- Prepare the dataset. Clean it, remove any missing or irrelevant data, to ensure the data is in a format that can be used for machine learning.
- Develop a machine learning model that accurately predict a daily order for each shop
Gov Challenge | Electronic Governance Agency
40 000 MDL
Streamline and elevate the customer experience.
The Electronic Governance Agency invites participants to develop within the EVO government application and a web interface a module based on AI technologies that assists citizens in the process of obtaining information about public services. The module should include a conversational interface that enables dynamic interactions with users, allowing them to ask questions, make requests, and seek the necessary clarifications to receive logical answers based on the descriptions of public services available at: http: servicii.gov.md.
Evaluation Criteria:
- Understanding User Needs and Requirements: Work closely with the Electronic Governance Agency and relevant stakeholders to understand the specific needs and requirements of citizens. Identify the types of public services most frequently inquired about and the potential questions citizens might have.
- Creating a Conversational Flow: Design a conversational flow that guides users through their queries. Define different user intents (e.g., querying a service, asking for clarifications, requesting forms), and map them to appropriate responses.
- User Training and Support: Provide clear instructions on how to use the application and the web interface.
- Scalability and Future Enhancements: As usage grows, ensure that the system can handle increased load. Consider adding more features over time.
Open Challenge
40 000 MDL
Create your own challenge.
If you don’t find yourself aligned with any of the prepared challenges, you can create your own.
Introducing the Open Challenge – an opportunity for you to present your own idea and create a solution for other challenges we’re currently facing. Whether it’s in medicine, education, the environment, or any other field that excites you, DeepTech GigaHack is the perfect place to make a difference.No matter how unconventional your idea may seem, we encourage breaking the patterns and exploring the horizons of advanced technologies. So, if you have inspiration and an innovative idea, join the DeepTech GigaHack and take part in the Open Challenge!
BioTech Challenge | Wisecube
40 000 MDL
Develop an AI agent that synergistically combines OpenAI APIs and Wisecube APIs to facilitate advanced biomedical research.
The vastness of biomedical data and the rapid pace of research make it challenging for researchers to stay updated and extract relevant information. Wisecube is an AI platform focused on accelerating biomedical research by synthesizing billions of data points from public and private datasets.By integrating the capabilities of OpenAI’s language models with the structured knowledge of Wisecube AI, we aim to create an agent that can provide comprehensive, accurate, and up-to-date biomedical insights.
Evaluation Criteria:
- Query Understanding: Use OpenAI’s language model to understand and refine user queries.
- Data Retrieval and Integration: Extract structured biomedical data from Wisecube using its API.
- Answer Synthesis: Combine structured and unstructured data to generate comprehensive answers.
- Visual Data Representation: Generate graphs, charts, and other visual aids to represent data trends and relationships
- Interactive Feedback Loop: Allow users to provide feedback on the relevance and accuracy of answers.
- Research Trend Analysis: Analyze the frequency and relevance of certain topics over time.
The most experienced and skilled professionals will be mentoring your team during Deeptech GigaHack
» Tickets
Individual_
Early bird
May 1 - June 15
150 MDL
Regular
June 16 - 31 August
300 MDL
Late
Sept 1 - Sept 8
500 MDL
Corporate_
Here you can buy tickets for your employees. We encourage companies to form their own teams and join the hackathon together. This way, they can work on their personal project with total support from our mentors.
» News
Prizes totaling over 270,000 lei were awarded to the winners of Moldova’s first regional hackathon, Deeptech GigaHack! For 2 days in Chișinău, 280 IT experts and enthusiasts worked tirelessly to...
In a country where IT services are experiencing an annual boom, with a steady 40% growth over the last few years, the Republic of Moldova is embracing new strategies to...
In a world grappling with unprecedented challenges across FinTech, EnergyTech, Big Data, and HealthTech, Moldova is embracing innovation with full force. On September 9-10 the international tech community is invited...
» Organizer
Technovator is an innovative platform that nurtures and amplifies talent, playing a pivotal role in the development of Moldova’s technological potential. Deeply connected to a vibrant network of startups and IT companies, it fosters growth and prosperity for the future. Technovator’s initiatives include the Ag Tech Innovation Lab, Product Management Community, Careeraid, Startup Students, and numerous others.
» Co-organizers
» Supported by
»Partners
By partnering with Deeptech GigaHack, you have the chance to present your products and services to an interested and qualified audience, engage with participants from diverse professional backgrounds, and identify top talents. Supporting Deeptech GigaHack offers opportunities to gain exposure, access to a diverse professional network, and establish your company as a leading authority in the Deep Tech industries.
Additionally, you can propose tasks for the teams participating in the hackathon.
»Academic Contributors
»Contributors
