What is the name of your organization?
MakerGhat
What is the name of your solution?
MakerDost
Provide a one-line summary or tagline for your solution.
MakerDost is a Large-Language Model (LLM) based chatbot, supporting hands-on learning among teachers and youth from underserved communities.
In what city, town, or region is your solution team headquartered?
Odisha, Tamil Nadu, Maharashtra
In what country is your solution team headquartered?
India
What type of organization is your solution team?
Nonprofit
Film your elevator pitch.
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What specific problem are you solving?
MakerGhat aims to address the challenge of youth unemployment and lack of agency. In India, 83% of unemployed individuals are youth, with 82% having secondary or higher education. The rote learning education system has failed to equip youth with employability skills, exacerbating the skills mismatch in an evolving job market.
What is your solution?
MakerGhat is an educational model designed to bridge the gap between traditional rote learning and hands-on, experiential education, particularly in STEAM fields. Our technology solution, MakerDost, is a Large Language Model (LLM) based WhatsApp chatbot. Through this we support teachers and youth with hands-on learning activities, skill evaluations, and customized lesson plans. Our approach empowers students with critical thinking, problem-solving, and collaboration skills, aligning closely with workforce needs and emerging technologies. We partner with government bodies, NGOs, and academic institutions to revitalize educational infrastructure and provide training that enhances employability, career awareness, and entrepreneurial skills. Through a robust monitoring and evaluation framework, we ensure our programs are data-driven and responsive to students' evolving needs, making our model scalable and adaptable for diverse educational settings.
Who does your solution serve, and in what ways will the solution impact their lives?
MakerGhat’s solution serves youth from underserved communities and the educators who work with them across middle and high schools, vocational institutes, and colleges, especially in rural India. Many students face systemic barriers such as rote-based teaching, limited local relevance in curriculum, under-resourced schools, and financial constraints restricting access to adaptive private education, leading to disengagement, absenteeism, and high dropout rates.
Our approach shifts from rote learning to hands-on, project-based STEAM education rooted in real-world problem solving. By making learning practical and meaningful, MakerGhat rekindles curiosity and motivation. We have observed increased attendance and reduced dropout rates in partner institutions. Students build critical thinking, collaboration, and technical skills aligned with workforce demands.
Our model drives broader transformation within underserved communities. It equips young people with confidence and competencies to participate in modern economies. By embedding experiential learning into formal systems, MakerGhat ensures marginalised youth become creators and contributors shaping their futures.
