Hack Five For members

The Fifth Elephant Open Source AI Hackathon 2024

GenAI makers and creators contest and showcase

Make a submission

Accepting submissions till 15 Feb 2024, 11:00 PM

Hasura, Bangalore




The Fifth Elephant Open Source AI Hackathon started on 5 January 2024 and reached its finale with a Demo Day event on 12 April 2024, when the winners of the two month long contest were chosen.

The aim of this hackathon was to encourage individuals/teams to apply and incubate innovative AI ideas/use cases and publish them as open source projects.

  • The hackathon contest participants worked with mentors for over two months to refine their ideas, and advance them to a stage where they are viable projects that could be pursued beyond the hackathon.
  • the project teams worked on AI’s application in education, accessibility, creative expression, scientific research, languages, under the overall theme of AI for India.
  • competing projects were judged on impact and relevance, innovation and creativity, technical soundness and code quality, scope of expansion, reusability and ease of adoption.

📋 Read Hack5 V1 Report

As a campaign to raise awareness and drive up developer adoption of AI and open source technologies, the hackathon was a great success. It helped shine light on the agility that open source technology enables for creative and innovative developers.

Open Source AI Hackathon Winners


“...each one of the contestants put in tremendous effort. And we saw the passion in every person, trying to do things not for winning, but about really building your projects. After a long time, I am attending such a hackathon where young folks are so passionate about building. Kudos to all of you”.
- Rukma Talwadker, Jury Member, Senior Principal Scientist at Games 24x7

“I really enjoyed judging all the projects - lot of interesting work. The Fifth Elephant has done a great job with mentoring and curating this hackathon”.
- Tanuja Ganu, Jury Member, Principal RSDE Manager, Microsoft India

“The hallmark of this hackathon was getting younger people to code for a longer period of time as opposed to a typical hackathon which turns out to be about — how do you build the coolest thing in the shortest period of time”.
- Sumod Mohan, mentor.

“What is impressive about this particular hackathon is, it is not just about cool ideas and fancy demos. It is actually about building a product or a software or a model that can live beyond the demo (and contest).”
- Soma Dhavala, team member at Project Seshu

“It was only through putting my ideas to code that I learnt what the specificity of implementing these (LLMs) were. I began my journey with a sense of hope and commitment towards FOSS principles, and the Hackathon only reinforced my belief that collaboration maketh a better product.”
- Sankalp Srivastava, Creator of Project Schematise

Key highlights from the hackathon

During the course of 12 weeks, the hackathon involved:

  1. Started off on 5 January 2024 and invited open source ideas and projects.
  2. Mentorship sessions in February for all project teams. Mentors included Abhishek H Mishra aka Tokenbender, Arvind Saraf, Bharat Shetty, Ramesh Hariharan, Sidharth Ramachandran, Simrat Hanspal, Sumod Mohan and Vinayak Hegde.
  3. The 10 best from 40 applications were chosen for the Demo Showcase.
  4. An involved peer-review process helped further refine projects between March 1st - 15th, followed by extensive rehearsals from April 8th - 10th, 2024.
  5. On Demo Showcase Day - we had project demos from 10 qualifying teams; 5 project winners were chosen on 12 April 2024.

The Prizes

🏆 Five prizes of ₹1,00,000 (One lakh rupees) per theme, were awarded to winning projects.
The prizes for this hackathon have been sponsored by Meta.

Note: Apart from the contest prizes, Microsoft has offered internships to the contestants.


  1. Ashok Hariharan heads data and business intelligence at United Nations Volunteers.
  2. Rukma Talwadker is Senior principal scientist at Games24x7.
  3. Shubha Shedthikere is a Senior Manager in the Data Science team at Swiggy.
  4. Sunil Abraham is the Public Policy Director for Data Economy and Emerging Tech at Meta, India.
  5. Tanuja Ganu is a Principal RSDE Manager at Microsoft Research India.


  1. Abhishek Mishra is a is creator of CodeCherryPop LLM series.
  2. Arvind Saraf is a computer scientist, engineering leader, entrepreneur trained at IIT, MIT and Google.
  3. Simrat Hanspal is currently spearheading AI product strategy at Hasura.
  4. Sumod Mohan is the co-founder and CEO of AutoInfer.


About The Fifth Elephant

The Fifth Elephant is a community of practitioners, who share feedback on data, AI and ML practices in the industry. If you like the work that The Fifth Elephant does and want to support its activities - review of Papers, Books, building the innovation ecosystem in India through hackathons and conferences - contribute by picking up a membership.


💬 Post a comment with your questions here, or join The Fifth Elephant Telegram group and the WhatsApp group.

Follow @fifthel on Twitter.

📞 For any inquiries, call The Fifth Elephant at +91-7676332020.

sponsor image

Hosted by

The Fifth Elephant hackathons

Supported by


All about data science and machine learning

Venue host

Welcome to the events page for events hosted at The Terrace @ Hasura. more


Providing all founders, at any stage, with free resources to build a successful startup.



Chatbot for Mental Well-being

Submitted Feb 7, 2024

Chatbot for Mental Well-being

Problem Statement

In 2017, findings from the National Mental Health Survey revealed that approximately one out of every seven individuals in India experienced mental health issues such as depression and anxiety. This heightened awareness of mental well-being has elevated its significance as a focal point for development initiatives. Nearly 150 million individuals in India were identified as requiring interventions, with a disproportionate burden observed among the lower and middle-income populations compared to their wealthier counterparts

Mental health is a complex issue and addressing mental health demands the highest level of attention and care. Unlike many other health concerns, mental health issues often intertwine with various aspects of an individual’s life, including their social environment, personal experiences, and genetic predispositions. Additionally, the stigma surrounding mental health further complicates the matter, hindering individuals from seeking help and society from providing adequate support systems.


The main goal of this project is to provide a support system for an individuals's mental well-being.

Generative AI has ushered in a new era for chatbots, providing them with capabilities to engage users in more natural conversations. Generative AI models also known as LLMs(Large Language Models) have given us the opportunity to offer more personalized and foster more engaging interactions. But deplying these LLMs in consumer applications poses several challenges, including the need to add guardrails that prevent the model from generating undesirable responses. For example, in the context of building an AI for mental health, then you don’t want it to generate toxic answers that bring more mental distress or teach people to engage in behaviors harmful to oneself.

To align these LLMs according to a set of values, researchers at Anthropic have proposed a technique called Constitutional AI (CAI), which asks the models to critique their outputs and self-improve according to a set of user-defined principles.

Afer aliging the model, it is important to have the right prompt to guide the model to generate meaningful responses that promote mental well-being, the idea is to explore Role based prompt engineering technique, so that the model can generate responses that are consistent with principles from Adlerian Psychology Inspiration . Please refer to the table below for some of the principles and their advantages.

Principle Advantage
Encouragement and Empowerment Fosters self-efficacy and resilience, providing supportive guidance to build user confidence in coping with challenges.
Goal Orientation Promotes setting meaningful goals and developing actionable strategies, fostering a sense of purpose and direction.
Social Interest Emphasizes the significance of social connection and community involvement, enhancing a sense of belonging.

Utilizing role-based prompt engineering alongside these principles ensures that the model generates responses that are consistent with Adlerian Psychology, thereby enhancing the effectiveness and relevance of the chatbot’s interactions.

Implementation Strategy

Generating a CAI dataset

Create Synthetic Data with LLMs using llm-swarm. Build two datasets, an SFT dataset and a preference dataset.


CHAT MODEL - The idea is to use Constituional AI to bake in harmlessness into the Llama-2-7b-chat-hf model and following that, employ prompt engineering techniques to integrate Adlerian psychology principles into the model.

MODERATION MODEL - LlamaGuard-7b a safeguard model to ensure user inputs and model responses are safe.


Project on GITHUB

Category: well-being improvement tools

NOTE: I would like to build on Lightning Studios, I want to ask if its possible to request (Aniket Maurya) for 50 credits. Email on Studios: ashish.soni2091@gmail.com


{{ gettext('Login to leave a comment') }}

{{ gettext('Post a comment…') }}
{{ gettext('New comment') }}
{{ formTitle }}

{{ errorMsg }}

{{ gettext('No comments posted yet') }}

Make a submission

Accepting submissions till 15 Feb 2024, 11:00 PM

Hasura, Bangalore

Hosted by

The Fifth Elephant hackathons

Supported by


All about data science and machine learning

Venue host

Welcome to the events page for events hosted at The Terrace @ Hasura. more


Providing all founders, at any stage, with free resources to build a successful startup.