Added Contributions

Added Sprint 3&4 Contributions

documentation/T1_2024/Group_Tasks_and_Handover_Documents/DataBytesReport.md

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 | Junkai Jiang | Write notes about how to set up Dolfin_new<br/>Set up Dolfin_new GitHub repository<br/>Develop JWT service for user authentication(Dolfin_new)<br/>Develop Basiq API service(Dolfin_new)<br/>Develop database service(Dolfin_new)<br/>Review the pull request by Deepak: Optimization of the clear transaction function.<br/>Review the pull request by Sagar: Email verification function.<br/>Review the pull request for rebuilding the login route and update the login page<br/>Review the pull request for rebuilding the dashboard<br/>Set up Dolfin_new Trello backlog<br/>Redesigned and developed the dashboard web interface of the new project<br/>Discussions with Junior Developer<br/>Discuss with Junior about setting up a Dolfin account<br/>Discuss with Junior about the transition of the project (React part)<br/>Discuss with Junior about the account delete functionality<br/>Discuss with Juniors about the handover document<br/>Connect the reported financial well-being feature to the database and backend(Dolfin_new)<br/>Connect income and expenditure overview to the backend(Dolfin_new)<br/>Connect D-cloud to the backend(Dolfin_new)<br/>Add linking to the bank account feature(Dolfin_new)<br/>Fix the backend Docker file<br/>Complete the showcase video (Dolfin_new part) |
 | Ata Colak |<li>Develop chatbot which uses Groq API as inference engine and LLAMA3-70b as large language model</li><li>Experiment running LLMs locally. Best performing model locally is "Phi3" using "Ollama".</li><li>Introduce logic to pass LLMs only relevant transaction info, reducing risk of hallucination tremendously.</li><li>Introduce capabilities to store different files correlating to different dates</li><li>Got PR merged for the final state of chatbot which extracts date information from user message, searches KnowledgeBase folder for relevant date, and answers user question related to their transactions.</li>
 | Axesh Patel |<li>Solved all the errors and fine-tuned the Llama.cpp model and successfully pushed the code on GitHub.</li><li>Created Dolfin comprehensive FAQ document containing 100 general questions and answers related to customer assistance for the Dolfin application.</li><li>Integrated the FAQ document as a knowledge base for the chatbot, utilizing a Retrieval-Augmented Generation (RAG) model for accurate responses.</li><li>Implemented a new version of the chatbot using Groq cloud's API to leverage Meta's latest LLAMA3 model.</li><li>Enhanced chatbot capabilities by utilizing the newest version of the LLM, improving performance and user interaction.</li><li>Created a detailed report comparing the LLAMA CPP model and the LLAMA Groq API model.</li><li>Added voice recognition and sentiment analysis features to both Llama.cpp and Groq API versions of chatbots.</li><li>Integrated both chatbot models with the front end, providing flexibility to switch between models by simply commenting/uncommenting code.</li><li>Documented the implementation and integration process for both chatbot models, detailing steps.</li>
+| Deepak Kumar Khatri| <li>Worked on Login Route to change it to Login Using Email Rather Than username</li><li>Updated Login User interface </li><li> Helped Aishwarya with Github commits and Data Quality Scripts </li><li> Helped Sahana Setting up the Code Enviroment, Gave her overview of the Code</li><li>Helped Sahana With Profile Route Updation and helped her to commit the Code on Github </li><li>helped Vishal with his Delete user Account task by providing code guidance</li><li>Helped Liny with setting up the code Enviroment and helping her to understand the Code.</li><li>Set up the New Dolfin on my local system</li><li>Currently Working on Writting Code Setup instruction</li><li>Attended HandOver Document Meeting to understand the process, will start work on it</li> 
 | Full name | Write contributions here ! <li>ITEM 1</li><li>ITEM 2</li><li>ITEM 3</li><li>ITEM 4</li><li>ITEM 5</li><li>ITEM 6</li> |
 
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