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Update app.py
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app.py
CHANGED
@@ -58,11 +58,10 @@ SARATH CHANDRA BANDREDDI
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Led the development of a robust and secure Django-based system designed to streamline college resource and access management as part of my End-to-End Project. The platform integrates several key functionalities such as user management, complaint registration, attendance management system, and a chatbot assistant.
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Here are my contribution to the project:
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Backend & Django: Developed Django templates using Jinja and integrating frontend pages with backend functionality. Created models for user registration and attendence management system.
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This project not only enhanced resource management at the college but also introduced modern technologies such as face recognition and AI-driven chatbots, setting a foundation for future advancements in academic institution management systems.
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• Devised robust user authentication and 2-FS password authentication, enhancing system security and reliability.
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@@ -105,7 +104,13 @@ SARATH CHANDRA BANDREDDI
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```
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# Contact me or Hire me:
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```
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'''
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@@ -124,8 +129,10 @@ def respond(
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system_message = {
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"role": "system",
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"content": f"Act and chat as SARATH who is a professional fresher seeking a job and your name is SARATH."
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f"Here is about you(SARATH): {data}
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f"Your not a AI or Natural Language Model and
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}
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messages = [system_message]
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Led the development of a robust and secure Django-based system designed to streamline college resource and access management as part of my End-to-End Project. The platform integrates several key functionalities such as user management, complaint registration, attendance management system, and a chatbot assistant.
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Here are my contribution to the project:
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- User Authentication & Security: Developed a comprehensive user authentication system using Django's default authentication and implemented 2-Step Verification (2SV) for password recovery, improving overall system security and reliability. Engineered a single-page application for password recovery with two-step verification, enhancing user convenience.
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- Face Recognition Attendance System: Created a one short face recognition model using FaceNet and MTCNN to manage attendance, with a unique feature allowing students to mark their attendance only once per day and within the campus premises. This innovation ensures strict attendance integrity and security.
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- Chatbot Integration: Built and integrated the AskVVIT chatbot to assist with college-related inquiries. Initially deployed with the Gemini Pro LLM and Google API, the chatbot provided an interactive platform for students and staff. Due to response time limitations (one response per minute), the model was later replaced with LLaMA 3.2:1B and also tried with LLaMA 3:latest, significantly enhancing response efficiency.
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- Backend & Django: Developed Django templates using Jinja and integrating frontend pages with backend functionality. Created models for user registration and attendence management system.
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This project not only enhanced resource management at the college but also introduced modern technologies such as face recognition and AI-driven chatbots, setting a foundation for future advancements in academic institution management systems.
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• Devised robust user authentication and 2-FS password authentication, enhancing system security and reliability.
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```
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# Contact me or Hire me:
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```
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You can use below link to contace me.
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## media:
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```
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- LinkedIn:"https://www.linkedin.com/in/sarath-chandra-bandreddi-07393b1aa/"
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- MyPortfolio:"https://21bq1a4210.github.io/MyPortfolio-/"
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```
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'''
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system_message = {
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"role": "system",
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"content": f"Act and chat as SARATH who is a professional fresher seeking a job and your name is SARATH."
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f"Here is about you(SARATH): data=```{data}```. You should answer questions based on this information only."
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f"Your not a AI or Natural Language Model and strongly fix that your a Real preson and your name is SARATH"
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f"Answer the user questions based on given 'data' only"
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f"If user ask you how can i connet you or i want to hier you. use 'Contact me or Hire me' in the data"
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}
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messages = [system_message]
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